Graduate research assistant jobs in Columbia, SC - 44 jobs

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Energy and Environment Directorate delivers science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The Electricity Infrastructure and Buildings Division, part of the Energy and Environment Directorate, is accelerating the transition to an efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive innovation, transform markets, and shape energy policy. **Responsibilities** Are you interested in making the world a better place while gaining valuable research experience to launch your career? Pacific Northwest National Laboratory (PNNL) is seeking master students passionate about creating a sustainable energy future through science and engineering to join us for a 10 week paid summer internship as part of the Energy and Environment Internship Program (EEIP). Participants will begin in cohort sessions and must be available to start on **May 26, 2026 or June 19, 2026** as part of the **Summer 2026 cohort.** EEIP interns in our Electricity Infrastructure & Buildings Division will experience firsthand how PNNL addresses some of our nation's toughest problems in energy efficiency, electric grid modernization, and the integration of renewable energy, storage, and electric vehicles with the power grid. Join our division of over 400 experts and explore how your training in fields such as, electrical engineering, mechanical engineering, architectural engineering and buildings sciences, systems engineering, data sciences, energy policy, and economics, can position you for a high impact career at a national lab. You'll be matched with a mentor based on your career interests, and project opportunities, and assigned to a research group working in one of the following areas: + **Power Systems Engineering:** grid architecture and communications, power system modeling and simulation, cyber and physical energy security. + **Energy System Analytics and Control:** learning and predictive analytics, control theory and system optimization, sensing and measurement, and advanced computing, including high-performance and edge computing. + **Building System Sciences & Engineering:** building energy modeling, electrical systems design and integration, whole-building performance evaluation and optimization, building technology testing and validation + **Policy, Markets and Deployment:** power market design and analysis, economic analysis and valuation, policy and regulatory analysis for buildings and electricity infrastructure, community energy transition planning. Positions are based in Richland, WA, Seattle, WA and Portland, OR. Work is primarily on-site, with remote arrangements considered only in rare circumstances and strictly based on business need. **The Internship Experience** PNNL interns are fully integrated into research teams and supported through The Gold Experience, a summer-long program that includes professional development, networking with scientists and engineers across the lab, and exposure to the full breadth of PNNL's research mission. This internship is designed to accelerate your growth as a researcher and help you envision long-term career paths in national laboratory science. Many students return for multiple summers, and a number successfully transition into full-time roles at PNNL after graduation. **Why Apply?** + Gain hands-on research experience in a national laboratory setting. + Collaborate with top scientists and engineers in cutting-edge research fields. + Build professional connections that can support future career opportunities. If you're motivated to apply your skills to real-world problems and gain hands-on research experience that can shape your career, we encourage you to apply. ******HOW TO APPLY****** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: **Step 1:** Upload **Resume or CV** in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). **Step 2:** Upload a **Cover Letter** separately in "Additional Documents" section of the application titled "Nuclear Sciences EEIP Cover Letter". + Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. **If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date.** **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.0 is required. Preferred Qualifications: + Applicants should be working toward a science, technology, engineering, or mathematics (STEM) degree, or related degrees. + Discipline of interest: Electrical Engineering or Power Systems Engineering, Mechanical Engineering, Architectural Engineering or Building Sciences, Systems Engineering, Energy Policy, Economics, Computer Science, Software, Engineering, or Cyber Security Engineering, Data Sciences **Hazardous Working Conditions/Environment** Not Applicable. **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $24.04/Hr. **Maximum Salary** USD $36.06/Hr.

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

**Must be enrolled in a university prior to and post internship.** **Target Internship Duration: May-Aug 2026 or June-Sept 2026.** **Target internship location: Burlington, MA.** **The Program:** Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. We are hiring students with a diverse set of skills and experiences to work in and across teams. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. **The Team:** The Machine Learning Research Group is searching for outstanding AI and ML research interns to join our research team. We are passionate about research that both advances science and has impact in the real world. You will be part of an amazing collaborative research team that publishes at the top venues in machine learning and artificial intelligence. Our expertise includes recommender systems, content moderation, foundation models, privacy preserving technology, probabilistic programming, and AI agents. Your contributions have the chance to create real impact. **Responsibilities** **What you'll be doing:** + Create new datasets that push the limits of existing AI and ML technology + Research, design and implement novel methods + Contribute to research that may lead to publications or conference presentations + Collaborate with other team members and teams + Transfer technology to product groups + Collaborate with external researchers **What You'll Bring:** **To be considered for a Research Assistant position in the Machine Learning Research Group, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume, application questions, and/or by uploading additional documents such as a transcript.** + **Visa sponsorship is not available for this role. For clarity purposes, this means that Oracle is not in a position now, or in the future, to offer US immigration sponsorship. This includes, but is not limited to, support of H-1B, TN, O-1, green card or F-1 e.g. EAD, OPT, CPT, I-20, F-1 visa stamp, etc.** + **Currently pursuing a Ph.D. in the field of Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent AND returning to the program after completion of the internship.** + Research and/or work experience in Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent + Excellent programming skills in Python plus hands on experience with common machine learning frameworks, such as PyTorch + Outstanding research and publication track record + Excellent communication skills + Reside in the United States and/or attend a university in the US. Preferred Qualifications: + Minimum 3.0 GPA The Machine Learning Research Group is an advanced research organization in Oracle. We focus on the development of technologies that keep Oracle at the forefront of the computer industry. Our researchers look for novel approaches and methodologies, often taking on projects with high risk or uncertainty, or that are difficult to tackle within a product development organization. Our research is focused on real-world outcomes: our researchers aim to develop technologies that will play a significant role in the evolution of technology and society. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from $19.62 to $53.00 per hour; from: $40,800 to $110,240 per annum. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC0 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

The Assistant Scientist at UF Health Precision Health Research Center will play a pivotal role in advancing research on aging in The Villages community with a focus on cognitive health, nutrition and wellness, patient-centered engagement, and the integration of artificial intelligence (AI) and technology. This role involves conducting cutting-edge research aimed at understanding the complexities of aging and developing innovative strategies to promote cognitive health and overall wellness in aging populations. This is a full-time, single mission, non-tenure track faculty appointment in the Department of Health Outcomes and Biomedical Informatics in the College of Medicine. Duties Include: Research Design and Implementation Designing Research Studies: Develop detailed research protocols and experimental designs focused on aging, cognitive health, and wellness. Ensure that methodologies are scientifically rigorous and appropriate for the research questions and include detailed recruitment, analytic & results dissemination plans. Conducting Research: Carry out protocols, experiments, surveys, and assessments according to the designed protocols. This includes recruiting participants, conducting assessments, staff training, and ensuring the collection of high-quality data. Data Management: Support the development and maintenance of databases for research data and/or the development and integration of data collection tools. Ensure data is stored securely and is accessible for analysis. Data Collection and Analysis: Oversee the collection of research data, ensuring accuracy and reliability. Use statistical and data analysis software to perform complex analyses. Appropriately apply quantitative and qualitative methods to interpret data trends, correlations, and patterns. Produce actionable insights, draw meaningful conclusions and develop recommendations based on data analysis. Reporting Results: Prepare visualizations, summary reports, journal publications and presentations to communicate findings effectively. Share results with the research team and external stakeholders to advance the field. Conducting Literature Reviews: Regularly review current literature related to aging, cognitive health, and wellness. Summarize and synthesize findings to inform ongoing and future research projects. Integrating New Knowledge: Apply insights from recent research to refine hypotheses, adjust methodologies, and enhance the relevance of research projects. Stay informed about emerging trends and technological advancements. Outreach and Networking Community Engagement: Participate in the development and implementation of community outreach activities to promote research and foster public understanding of aging and wellness topics. Professional Networking & Stakeholder Engagement: Help organize and/or attend professional meetings, networking and stakeholder events to build relationships with research stakeholders including academic, industry, clinical, and community partners to facilitate research and translate/intergrate research into real-world settings. Team Collaboration: Work collaboratively with interdisciplinary teams, including other researchers, clinicians, and specialists. Participate in regular team meetings to discuss progress, challenges, and strategies. Scientific Communication: Prepare and deliver presentations of research findings at conferences, workshops, and meetings. Contribute to writing and revising peer-reviewed publications and grant proposals. Provide Service to the University and Profession: participate in department, university, and professional organizations at the local and national level. Special Projects Project Assistance: Contribute to special projects or initiatives that arise within the research center, which may include administrative or operational tasks outside of primary research responsibilities. Grant Writing and Funding Proposal Development: Assist in drafting grant proposals, including writing sections related to research aims, methodology, and expected outcomes. Collaborate with team members to develop comprehensive and competitive proposals for a wide variety of funders including government, industry and non-profit groups. Funding Acquisition: Help identify potential funding sources and opportunities. Contribute to the development of project budgets and funding requests. Training and Supervision Mentoring: Provide guidance and support to junior researchers, students, interns, or lab assistants. Assist with training new team members and learners in areas of expertise and/or on research protocols and techniques. Supervision: Oversee day-to-day activities of support staff or students involved in research projects, ensuring tasks are completed effectively. Ethical and Regulatory Compliance Compliance Monitoring: Participate in developing and executing compliance monitoring plans. Provide oversight to ensure that all research activities adhere to institutional, ethical, and regulatory guidelines. Obtain necessary approvals from ethics review boards and regulatory bodies. Participant Confidentiality: Maintain confidentiality and privacy of research participants. Follow protocols for data security and ethical handling of sensitive information. Expected Salary: $120,000 - $130,000 Minimum Requirements: Specific requirements for the positions include: (1) an earned doctorate in a socio-behavioral, bio-informatics and/or health related field, and (2) a minimum of 4 years of research experience specifically focused in an area related to AI and technology, cognition, patient-centered engagement, and/or nutrition and wellness. Preferred Qualifications: Experience with research funded by a variety of research partners including government groups, industry sponsors and/or non-profit organizations Outstanding oral and written communication skills, ability and experience authoring scientific journal publications and/or technical reports, Expertise in statistical applications and software packages (e.g., SAS, SPSS, RedCap, Stata, N-Vivo, Atlas.ti, ArcGIS, Excel, R, and/or Access) Interest, ability and experience in design and execution of collaborative multi-disciplinary research. Capacity to contribute to the design of research projects and writing of research proposals Interest in and ability to translate research findings into practice, using data collected and analyzed to inform the development of health innovations, programs, and/or policies. Capacity to successfully interact with a variety of project stakeholders including community leaders, study sponsors, other scientist, health care providers, policy makers and community members Demonstrated talent for collaboration and team building and ability to build and maintain effective, trusting working relationships that reflect kindness, mutual respect, and honesty, when working with different perspectives among university students, staff, and internal and external partners. Ability to cope with change, to shift gears comfortably, and to handle risk and uncertainty. Strong program development and evaluation skills required for outcomes and/or program evaluation tracking, outcome assessment, and quality assurance and service utilization review. Broad, systems thinking and knowledge of organizations and how they work, combined with tact and diplomacy to navigate complex environments effectively. Understanding of the principles of human research protection standards, including Institutional Review Board protocols and procedures Up-to-date knowledge of scientific and regulatory requirements for device and/or drug based clinical trials Capacity to harness innovative research tools (i.e. REDCAP, LucidChart, Monday.com, RingConn, Z-Machine, etc) for the effective collection, dissemination, and/or management of research data. Capacity to successfully manage various research projects and demonstrated leadership skills in guiding individuals and groups through research, assessment, and strategic planning processes. A strong background with monitoring the progress of research activities, and capacity to develop and maintain records of research activities, prepare periodic and ad hoc reports, as required by investigators, administrators, funding agencies, and/or regulatory bodies. Ability to implement quality control processes throughout research activities. Effective communication, writing, critical thinking, and organizational skills required to develop and maintain policies, procedures, and clinical delivery systems for the agency and divisional/university reports. Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. The Search Committee will accept applications until the position is filled. Applications will be reviewed starting as soon as possible after the posting date. Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES), which can be found at ********************** This is a time limited position. This requisition will be used to fill multiple openings and has been reposted to open until filled. Previous applicants remain under consideration and need not apply. Health Assessment Required: No

Job Responsibilities * This posting will be used to fill multiple summer internship positions in Office of Materials and Research - Columbia Materials Lab.* At the office of Materials and Research (OMR), the responsibilities includes: * Performs laboratory testing of highway construction materials in areas such as concrete, steel, aggregates, soils, and cement. Performs and checks calculations, prepares sample test reports, and utilizes relevant applications for documenting results. * Assists with OMR field operations in areas such as pavement evaluation, asphalt inspection, and geotechnical investigations. * Assists OMR materials engineers with special projects, investigations, literature reviews, and research. Pay Rate is between $17.00 - $23.00/per hour depending on qualifications. Minimum and Additional Requirements A high school diploma; or an approved acceptable equivalence. Applicants must be accepted into or currently enrolled in a two-year or four-year college or university program in Engineering, Engineering Technology, or Construction Science and Management. Additional Comments The South Carolina Department of Transportation is committed to a diverse workforce and does not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability or genetic information.

Apply now Job no: 492761 Work type: Full-Time Are you a passionate and innovative researcher with a deep understanding of artificial intelligence, machine learning, and data science? South Carolina State University is seeking a talented Assistant Professor/Research Scientist in Computer Science/Cybersecurity ( with AI/ML/Data Science Focus) to join our prestigious College of Science, Mathematics, and Engineering Technology team. In this exciting role, you will have the opportunity to collaborate with a multidisciplinary team of researchers, engineers, and scientists to drive cutting-edge research projects. You will be responsible for developing and implementing advanced algorithms, models, and techniques to analyze complex data sets and uncover valuable insights. Key Responsibilities: 1. Design and develop state-of-the-art AI/ML models and algorithms to tackle challenging research problems across various domains, including but not limited to computer vision, natural language processing, and predictive analytics. 2. Collaborate with cross-functional teams to identify research opportunities, define project goals, and implement innovative solutions. 3. Conduct in-depth data analysis, feature engineering, and model optimization to ensure accurate and reliable results. 4. Stay up to date with the latest advancements in AI/ML and data science and actively contribute to the field through research publications and conference presentations. 5. Mentor and guide graduate and undergraduate students in research projects, fostering a culture of excellence and innovation. Qualifications: * Ph.D. in Computer Science, Engineering, Statistics, or a related field with a strong focus on AI/ML and data science. * Proven track record of conducting cutting-edge research, with publications in top-tier journals or conferences. * Extensive experience in programming languages such as Python, R, and/or C++, and proficiency in using machine learning frameworks (e.g., TensorFlow, PyTorch). * Strong analytical and problem-solving skills, with the ability to think critically and creatively. * Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Join our dynamic and innovative research team at South Carolina State University and contribute to groundbreaking discoveries that shape the future of AI/ML and data science. We offer a competitive compensation package, outstanding research facilities, and a supportive and diverse academic community. South Carolina State University is an Equal Opportunity Employer Advertised: 16 Jul 2025 Eastern Daylight Time Applications close:

**Why join Pearson's intern program?** Pearson is the world's learning company. We help people of all ages acquire the knowledge and skills they need to be successful in their work and careers. We believe that everyone should be able to keep learning, every day and in every way, throughout their lives. Bringing together everything we know about the science of learning and the latest technology; we're shaping the future of teaching and learning. We're looking for the next generation of talented graduates to join our team for an unforgettable 8-week internship. An internship at Pearson is an opportunity to bring your own unique perspective as a learner, together with your academic knowledge, technical skills, and enthusiasm, to help create products that help fix the skills challenges faced by learners, employees and employers. As one of our interns, you will gain a comprehensive introduction to our business. You'll be assigned to a team to support real-life projects that bring our products and services to life and are ready to launch to our learners. On-the-job training and professional development will be provided to enable you to contribute to the business. You'll also have direct access to a senior member of the team, as each intern will be mentored to help you make the most of the 8-week program. During your internship, you will gain valuable hands-on experience to build your resume to stand out with future employers, such as Pearson We foster a work environment that's inclusive as well as diverse, where our people can be themselves. Every idea and perspective is valued so that our products reflect the people we serve - our teachers and students, employers and employees, and consumers and learners. **What Does the Internship Program Offer?** Pearson is offering an 8-week summer internship in 2026 for two exceptional doctoral students with strong psychometric skills who are eager to gain hands-on experience in large-scale educational assessment. Interns will engage in various aspects of operational K-12 assessments, including assessment development, item analysis, standard setting, and technical reporting. This opportunity also supports our LEAD goal, as interns frequently collaborate with our research scientists on co-publications and present their work at industry conferences. **Pay rate** The award includes a $9,000 stipend. You will be eligible for accrued paid sick time per the policy guidelines. Please refer to the Sick Leave Policy. **Job Description** As an Associate Research & Psychometric Analyst Intern, you will gain hands-on experience in large-scale educational assessment. Interns will work closely with Pearson research scientists to support operational K-12 assessment contracts, gaining applied experience in assessment development, item analysis, standard setting, and technical reporting. This internship also provides opportunities to collaborate on research, co-publish with experts, and present at industry conferences, enhancing both technical skills and professional communication in educational measurement **What does the 8- weeks involve?** During the 8-week program taking place between June and August 2026, with some flexibility in scheduling. Interns will gain hands-on experience in large-scale educational assessment, working closely with Pearson research scientists. Key activities include assessment development, item analysis, standard setting, and technical reporting. Interns will also have opportunities to enhance their collaboration and communication skills in educational measurement while contributing to real-world K-12 assessment projects. This position is fully remote, with occasional travel to company offices or partner locations as necessary. The role is primarily designated as a Remote Employee. For reporting purposes, the office location will be US-TX-Austin-400 Center Ridge. **Minimum Requirements** + Currently enrolled in a doctoral program in educational measurement, educational statistics, educational psychology, or a related field. + Completion of at least two years of doctoral-level coursework + Strong written and verbal communication skills. + Ability to commit exclusively to the Pearson summer internship (no concurrent internships or externships). _Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply._ _Pearson believes that wherever learning flourishes, so do people. We are committed to being an anti-racist company in everything we do. We value the power of an inclusive culture and a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm, and all individuals are supported in reaching their full potential._ _Through our talent, we believe that diversity, equity, and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to a sustainable environment and workplace where talent can learn, grow, and thrive._ _To learn more about Pearson's commitment to a diverse and inclusive workforce, please click here:_ *********************************************************** **APPLICATION PROCEDURE:** All candidates must apply online at: ********************** Type (21885) in the keyword search box to access the posting. In addition to the online application, each candidate must submit a curriculum vita, copy of graduate school transcript, two letters of recommendation, and a statement of purpose describing his or her interest in the internship. All application materials must be received by February 8, 2026. Internship awards will be announced by March 8, 2026. **Who we are:** At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing ******************************************. **Job:** Research, Efficacy, and Psychometrics **Job Family:** LEARNING\_&\_CONTENT\_DEVELOPMENT **Organization:** Assessment & Qualifications **Schedule:** FULL\_TIME **Workplace Type:** Remote **Req ID:** 21885 **Req Type:** Student \#location

To navigate through this form, please use the "Prev" and "Save & Continue" buttons at the top of the page. Do not use your browser's "Back" button as it will not save your progress and data will be lost. Logo Posting Number RTF00003PO26 USC Market Title Research Specialist Link to USC Market Title ************************************ Business Title (Internal Title) Research Assistant Campus Columbia Work County Richland College/Division College of Arts and Sciences Department CAS Psychology Advertised Salary Range $44,296 - Salary commensurate with qualifications. Location of Vacancy Part/Full Time Full Time Hours per Week 37.5 Work Schedule * Standard schedule is Monday through Friday from 8:30 a.m. to 5:00 p.m. with the one hour for lunch. * Must be willing to work a flexible schedule to meet the needs of the department. Type of Staff Position Staff Research Grant (SRGP) Basis 12 months Job Search Category Other Professional About USC About University of South Carolina From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond. Benefits for Research Grant or Time-Limited Positions Are Indicated Below The University of South Carolina (UofSC), through the State of SC and Public Employee Benefit Authority (PEBA), offers employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at *********************** Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina Retirement Yes State Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position Description Advertised Job Summary We seek a Research Assistant to support cognitive neuroscience projects investigating individual differences. The position involves recruiting and scheduling participants, conducting behavioral experiments and fMRI scanning sessions, preprocessing neuroimaging data, performing literature reviews, and assisting with computational analyses. The ideal candidate will work closely with graduate students and postdocs, gaining hands-on experience with experimental design, neuroimaging methods, and data analysis techniques. This role offers excellent training opportunities for individuals pursing graduate studies in psychology, neuroscience, or related fields. Job Related Minimum Required Education and Experience Requires a master's degree in area of research specialty. Required Certification, Licensure/Other Credentials Preferred Qualifications Experience with Python, MATLAB, or R. Prior research experience in cognitive psychology, neuroscience, or computational modeling. Experience working with human participants. Familiarity with fMRI/EEG/behavioral experiment software (PsychoPy, MATLAB Psychtoolbox). Knowledge/Skills/Abilities Programming and computing skills are highly preferred. Ability to communicate clearly with participants and team members. Job Duties Job Duty Analysis and visualization of data for research projects, particularly fMRI and behavioral data Essential Function Yes Percentage of Time 30 Job Duty Writing manuscripts for publications, communicating the findings through meetings and conferences. Essential Function Yes Percentage of Time 30 Job Duty Coordinate participant communication, consent processes, and IRB-compliant documentation. Essential Function Yes Percentage of Time 25 Job Duty Maintain lab equipment, manage lab inventory, assist with purchasing and logistics. Essential Function Yes Percentage of Time 5 Job Duty Contribute to lab meetings, scientific discussions and peer-review . Essential Function Yes Percentage of Time 10 Position Attributes Hazardous weather category Non-Essential Employees in Safety-Sensitive or Security-Sensitive positions will be subject to pre-employment and post-employment drug testing in accordance with University policy HR 1.95 Drug and Alcohol Testing. No Posting Detail Information Number of Vacancies 1 Desired Start Date 01/01/2026 Position End Date 12/31/2026 Job Open Date 01/09/2026 Job Close Date 02/23/2026 Open Until Filled No Special Instructions to Applicant Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. We are only accepting applications submitted by February 23, 2026. Quicklink for Posting ************************************** EEO Statement The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations. Supplemental Questions Required fields are indicated with an asterisk (*). * * Do you have at least a master's degree in area of research specialty? * Yes * No Applicant Documents Required Documents * Resume Optional Documents * Other Supporting Documents

JOB DESCRIPTION: Newberry College Women's Soccer is seeking a Graduate Assistant (Goalkeeper Coach) for the upcoming academic year. This position is ideal for someone passionate about coaching, player development, and being part of a competitive NCAA Division II program in the South Atlantic Conference (SAC). The Graduate Assistant will work directly with the Head Coach and coaching staff in all aspects of the women's soccer program, with a specific focus on the training and development of goalkeepers. The position offers an excellent opportunity to gain hands-on coaching experience while pursuing a graduate degree.

This position, under the supervision of the Dean-School of Science and Engineering, will lead research tasks, complete reports, and present; develop experiments and assist lab users (students and other researchers) within the lab environment; collect and use research data; establish sustainable research tracks, write proposals, and publish in reputable journals and conferences; complies with the College policies and procedures; and performs other related duties as assigned. ESSENTIAL JOB FUNCTIONS: Visible and available for students, faculty and visitors at the College's computation laboratories. Actively engaged and perform routine lab and research project functions. Assist lab users with the use of equipment. Reporting and presentations, and representation at meeting and conferences. Publishing conference and journal articles. MINIMUM REQUIREMENTS TO PERFORM WORK: Doctoral degree (or still in progress) in related engineering disciplines such as electrical engineering, computer engineering, mechanical engineering, computational sciences or related fields. Must have some familiarity and/or relevant experience in academic research and writing; previous post-doctoral work is a plus; Must be proficient in Microsoft Office Suite, utilizing Outlook, Word, Excel, PowerPoint, Publisher and Microsoft Teams. Training will be provided as needed to ensure familiarity with lab operations and equipment. KNOWLEDGE, SKILLS AND ABILITIES: Must have clear and effective oral communication. Must have the ability to exercise sound judgment. Must have good rapport with people. PHYSICAL DEMANDS: Requires sedentary work that involves walking, standing, lifting, carrying, pushing and pulling some of the time. Requires the ability to lift up to 20 pounds and the ability to exert up to 10 pounds of force on a recurring basis or routine keyboard operations. WORKING CONDITIONS: Work environment risks exposure to no known environmental hazards. APPLICATION PROCESS: Review of applications will begin immediately and continue until the position is filled. Interested candidates should complete an online application using this link: ******************************** and upload a cover letter, resume, official transcripts, and three letters of recommendation. If you have additional questions regarding the position, send an email to: *****************************. EOE M/F/D/V

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Our services are vast and we produce software and web products. We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift programming languages to create native applications for iPhone, whereas we use Android Code to develop native applications for Android devices. To create applications that work on cross-platforms, we use a number of frameworks such as Titanium, PhoneGap and JQuery mobile. Furthermore, we build web products and offer services such as web designing, layouts, responsive designing, graphic designing, web application development using frameworks based on model view controller architecture and content management system. Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from this, we also provide IT Staffing services that can help your organization to a great extent as you can hire highly skilled personnel's through us. We make sure that we deliver performance driven products that are optimally developed as per your organization's needs. Take a shot at us for your IT requirements and experience a radical change. Job Description This is a long term position that will be utilized for production support and software development. This assignment will provide application development programming support for Financial and operational systems. Work closely with business units and IT analysts responsible for supporting those systems. Programming Skills: Natural and Adabas Qualifications Programming Skills: Natural and Adabas Required Education: College degree or can be substituted by equivalent work experience Preferred Skills (rank in order of Importance): Technical documentation Additional Information Thanks and Regards, Karan Sharma 510-254-3300 ext. 150

Intended for students graduating with their Doctorate degree by December 2025, or have graduated within 12 months of start date. **Location:** this position is fully in office, in our Austin, Nashville, Santa Clara, or Seattle Hub. **The Program:** Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. **The Team:** At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Oracle Generative AI Service is an exciting team in Oracle Cloud Infrastructure. We deliver innovative services at the intersection of artificial intelligence and cloud infrastructure. In the Generative AI Service team, you will build and operate massive-scale cloud services leveraging state-of-the-art machine learning technologies. We are committed to providing the best in cloud products to meet the needs of our customers who are tackling some of the world's most challenging problems. The Oracle Cloud infrastructure business is growing at an incredible 52% annually. This kind of growth results from Oracle's strong legacy in helping organizations worldwide tackle their most complex challenges and its reputation for performance, reliability, and security. Join an outstanding team of researchers to advance the state-of-the-art in areas such as: + Generative AI Applications + Agentic Platforms + Reasoning and Planning + Retrieval Augmented Generation + Generative AI Evaluation + Responsible AI + Models' Verticalization + NL2Code, NL2SQL + Multimodal GenAI + Speech **The Company:** Oracle is the world's leading provider of business software. With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only transforming the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com (********************************** . **Responsibilities** **What You'll Do:** As an Applied Scientist in the Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art systems with cutting-edge technologies in this fast evolving area. you will play a key role in shaping the future of Generative AI at Oracle, with an emphasis on Large Language Models (LLMs) and Multi-modality Models. Your contributions will be pivotal in delivering our new Generative AI-powered services for large scale enterprise customers. **Responsibilities:** + Collaborate with product managers to translate business and product requirements into AI projects. + Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. + Coordinate with global teams to drive projects from in-depth research to producing production-ready code + Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning. + Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices. + Lead and mentor both junior and senior machine learning engineers. + Develop production code and advocate for the best coding and engineering practices. + Participate in project planning, review, and retrospective sessions. + Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. + Work closely with cross-functional teams to integrate evaluation capabilities, identify new opportunities for evaluation, and explore emerging technologies. **What You'll Bring: (Objective Minimum Qualifications)** + Have a **PhD** in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) by **December 2025.** + Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + A background in Natural Language Processing and/or Computer Vision, Machine Learning, and Software Development, as well as experience in research and development, collaboration, and innovation. + Hands-on experience in one or more areas: ASR, TTS, S2S translation, conversational AI, or related NLP topics. + Proven analytical and problem-solving abilities in AI/ML or speech/language processing domains. + Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. + Commitment to staying up to date with the field and applying academic advances to solve complex business problems and bringing them into production. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences + Reside in the United States and/or attend a university in the US. + Able to obtain work authorization in the US in **2025.** **Preferred Qualifications:** + Knowledge of LLM and experience delivering Generative AI And Agent models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. + Strong understanding of machine learning algorithms and architectures + Open-source contributions to the AI/ML community + Minimum 3.0 GPA Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world. The Physical Detection Systems and Deployment Division, part of the National Security Directorate, delivers policy-informed technology solutions by removing barriers to real-world implementation. We strive to understand end-user environments to transition technology from the developmental stage to deployment. Our diverse expertise in operational systems provides tools, technologies, and approaches for combating a range of threats, both at home and in more than 100 countries around the globe. Protecting U.S. residents and visitors is among our nation's highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex-from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures. PNNL's scientific discovery and capabilities-rooted in innovative theory, methods, algorithms, and tools-are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe. **NOTE: Several documents are strictly required to submit with the application to be eligible for this position. Please read the entire job posting for detailed instructions.** **Responsibilities** PNNL's Physical Detection Systems and Deployment Division is focused on discovering, developing and deploying physical detection systems. We are seeking post bachelor research associate candidates for assignments within the National Security Internship Program (NSIP). Do you want to be challenged with hard problems in national security, energy, and science and apply cutting-edge research to make our nation safer and stronger? Do you want to perform research and development critical to prevent and counter terrorism and proliferation of weapons of mass destruction? Are you interested in physics, material science, electrical engineering, mechanical engineering, systems engineering, project management or instructional design? If you answered yes, please join us as an intern in the Physical Detection Systems and Deployment Division. Participants will be starting in cohort sessions and must be available to start in May or June 2026 [Summer cohort]. Your research associate position will land you in one of the following focus areas: **Advanced Engineered Systems** We are a group of passionate makers who have a long history of building and deploying embedded sensor systems for a wide variety of sponsors and applications. We are 50+ electronics engineers, software engineers, mechanical engineers, physicists, etc.; all sharing the DNA and desire to deploy solutions for our sponsors that help the mission of national security. We focus on emerging technologies by integrating capability across electromagnetics, systems modeling, communications, analytics development, and systems design to serve as a flywheel for feeding technology advancements across the division and laboratory. Projects within the group range from mission focused, highly applied projects in support of national security to fundamental science projects. **Detection Physics** We represent PNNL's ultra-low background capability and develop some of the world's most sensitive radiation detection systems; driving solutions that span fundamental physics to treaty verification by integrating modeling, experimentation, data science, and support staff. **Disruptive Technology** We focus on the development of detection systems and data analysis techniques for a variety of missions ranging from fundamental physics to national security. Projects within the research group range from highly applied projects to fundamental science projects in the areas of nuclear/particle physics, electromagnetics, and novel sensor technology development. **Engineered Materials** We work on the design, synthesis, implementation, characterization, and monitoring of functional materials for national security missions leveraging chemistry, computations and models, data science, characterization tools, and non-destructive evaluation methods. **Operational Readiness** We steward capabilities associated with the mission assurance and operations and maintenance stage of the systems engineering lifecycle. Operational sustainment is achieved and transitioned through instructional systems, credibility assessment, logistics innovation, reliability and field engineering, and complex supply chain and interdependency analysis. **Systems and Technology Integration** We lead the Lab in bringing the most technology aligned, diverse, talented, and skilled project management and systems engineering staff who will do what it takes to expertly deliver on the national security detection requirements of our sponsors. **Positions are available in Richland, WA and Seattle, WA, based on business need. Positions may also be performed remotely or on campus at PNNL based on business need.** ******HOW TO APPLY****** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: **Step 1:** Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). **Step 2:** Upload a Cover Letter separately in "Additional Documents" section of the application titled "PDSD - NSIP Cover Letter". + Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. **If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date.** **Qualifications** Minimum Qualifications: + Candidates must have received a Bachelor's degree within the past 24 months or within the next 8 months from an accredited college or university. + Minimum overall GPA of 3.3 required. Preferred Qualifications: + Disciplines of interest: additive manufacturing, computational modeling, eLearning design and development, electrical engineering, electromagnetics, embedded systems, instructional design, law enforcement, material science, mechanical engineering, nuclear engineering, nuclear proliferation, nuclear security and risk analysis, project coordination, project management, physics, quantum information systems, radio frequency engineering, software engineering, systems engineering, training program management, and usability testing. **Hazardous Working Conditions/Environment** Not applicable. **Additional Information** This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave**, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company funded pension plan* and may enroll in our 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **Once eligibility requirements are met. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $27.50/Hr. **Maximum Salary** USD $35.77/Hr.

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. **Required Skills:** Research Engineer, Language - Generative AI Responsibilities: 1. Design methods, tools, and infrastructure to push forward the state of the art in large language models 2. Define research goals informed by practical engineering concerns 3. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results 4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) 5. Work with a large and globally distributed team 6. Contribute to publications and open-sourcing efforts **Minimum Qualifications:** Minimum Qualifications: 7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8. Research experience in machine learning, deep learning, and/or natural language processing 9. Experience with developing machine learning models at scale from inception to business impact 10. Programming experience in Python and hands-on experience with frameworks such as PyTorch 11. Exposure to architectural patterns of large scale software applications **Preferred Qualifications:** Preferred Qualifications: 12. A PhD in AI, computer science, data science, or related technical fields. 13. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 14. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 15. Direct experience in generative AI and LLM research. **Public Compensation:** $88.46/hour to $257,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

Apply now Job no: 492659 Work type: Full-Time In this exciting role, the successful candidate will spend approximately 75%-time conducting research in areas not limited to: * Advanced Oxidation Processes. * Catalytic Remediation. * Chemical Treatments. * Environmental Analytical Methods. * Inorganic Pollutants. * Organic Pollutants. * Separation Technologies In addition, the successful candidate will be required to teach at least one course (25% of an FTE) as a faculty member in the Department of Biological and Physical Sciences and 75% of the time devoted to conducting research in the CEES. Also, he/she will: * Identify and develop new research areas and proposals and secure funding. * Develop methods/models to collect environmental samples from different media (air, soil, water, materials, etc.). * Develop methods and optimize data collection and analysis using analytical methods such as gas chromatography/mass spectrometry (GC/MS), proton transfer reaction mass spectrometry (PTRMS), and high-performance liquid chromatography (HPLC); develop new methods and codes for data collection and analysis. * Actively works to build a network of contacts and collaborators within their area of research and at funding agencies. * Presents findings at seminars and conferences. * Reports regularly on research progress to funders. Minimum Requirements for Entry into Position: * Advanced degree (PhD) or equivalent in Radiochemistry or a related field, and at least 3 years of relevant professional experience. Preferred Requirements for Entry into Position: * A demonstrated research and publication portfolio * Project Management experience. * General knowledge of other analytical methods not mentioned above, such as Fourier Transform Infrared (FTIR) Spectroscopy. * Have significant experience using Python, MATLAB, NI LabVIEW, and other scientific computing applications. Demonstrated knowledge and understanding of analytical chemistry, advanced instrumentation, and environmental research methods. * Provide general knowledge of environmental chemistry beyond the specific topics mentioned above; understanding of human exposure to health risk as it relates to indoor and outdoor air quality; understanding of the links among indoor air quality, ventilation, and energy efficiency of the built environment. * Collaborate effectively with multidisciplinary teams of scientists, clients, and international collaborators. * Have excellent communication skills including verbal, written, and presentation skills. * Use of The Microsoft Tool Suite (i.e., Word, PowerPoint, Excel) and Google Suites applications. * Have excellent time management skills and the ability to prioritize many competing deadlines. Advertised: 18 Jul 2024 Eastern Daylight Time Applications close:

Qualifications Requires a bachelor's degree in area of specialty (Neuroscience). Candidates with strong coding experience preferred; strong interpersonal skills and experience working with children and/or parents; demonstrated ability to work independently and participate on a team. Work Schedule Standard working schedule: 8:30am - 5:00pm Must be willing to work a flexible schedule to meet the needs of the department

**Intended for students graduating with their Doctorate degree by, or have graduated within, 12 months of cohort start date in June/July 2026.** **Location:** this position is fully in office, in our Austin, Nashville, Santa Clara, or Seattle Hub. **The Program:** Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. **The Team:** At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Oracle Generative AI Service is an exciting team in Oracle Cloud Infrastructure. We are delivering innovative services at the intersection of artificial intelligence and cloud infrastructure. In Generative AI Service team, you will build and operate massive-scale cloud services leveraging state of art machine learning technologies. We are committed to providing the best in cloud products to meet the needs of our customers who are tackling some of the world's most challenging problems. The Oracle Cloud infrastructure business is growing at an incredible 52% annually. This kind of growth results from Oracle's strong legacy in helping organizations worldwide tackle their most complex challenges and its reputation for performance, reliability and security. Join an outstanding team of researchers to advance the state-of-the-art in areas such as: + Generative AI Applications + Agentic Platforms + Reasoning and Planning + Retrieval Augmented Generation + Generative AI Evaluation + Responsible AI + Models' Verticalization + NL2Code, NL2SQL + Multimodal GenAI **The Company:** Oracle is the world's leading provider of business software. With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only transforming the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com (********************************** . **Responsibilities** **What You'll Do:** As an Applied Scientist in Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art systems with cutting-edge technologies in this fast evolving area. you will play a key role in shaping the future of Generative AI at Oracle, with an emphasis on Large Language Models (LLMs) and Multi-modality Models. Your contributions will be pivotal in delivering our new Generative AI-powered services for large scale enterprise customers. **Responsibilities:** + Collaborate with product managers to translate business and product requirements into AI projects. + Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. + Coordinate with global teams to drive projects from research to production. + Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning. + Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices. + Lead and mentor both junior and senior machine learning engineers. + Develop production code and advocate for the best coding and engineering practices. + Participate in project planning, review, and retrospective sessions. + Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. **What You'll Bring: (Objective Minimum Qualifications)** + Have a **PhD** in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) by **July 2026.** + Demonstrated experience in designing and implementing scalable AI models for production. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. + Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences + Reside in the United States and/or attend a university in the US. + Able to obtain work authorization in the US in **2026.** **Preferred Qualifications:** + Knowledge of LLM and experience delivering Generative AI And Agent models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. + Minimum 3.0 GPA Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Emerging Threats and Technologies Division, part of the National Security Directorate, consists of over 400 scientists, engineers, and analysts with backgrounds in cyber, nuclear, intelligence, policy, data science, and other fields. We work in interdisciplinary project teams to provide innovative concepts that integrate policy, analytics, science, and technology into unique solutions. Protecting U.S. residents and visitors is among our nation's highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex-from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures. PNNL's scientific discovery and capabilities-rooted in innovative theory, methods, algorithms, and tools-are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe. To learn more: ************************************************* ****************************************************** **Responsibilities** PNNL is seeking Research Associates for assignments within the National Security Internship Program (NSIP). The Emerging Threats & Technologies Division is looking for individuals who have a passion for solving critical national challenges using advanced techniques. Research Associates will engage with complex problems across national security, energy, and science, applying rigorous analysis and innovative research methods to deliver impactful solutions that help keep our nation safe and secure. Research Associate appointments may be aligned with one of the following technical groups: Cyber Resilience Foundations, Cyber Risk Reduction, Innovative Security Solutions, Global Research Analysis, Strategic Threat Analysis, or Mission Alignment. **Cyber Resilience Foundations:** The Cyber Resilience Foundations group works with government and private sector stakeholders to quickly adapt to new technology spaces, understand how their introduction into specialized domains affects system security postures, and create solutions to improve their resilience to new technologies. Disciplines: Cyber Security Research, Cyber Security Engineering, IT/OT, Software Development, Network Architecture. **Cyber Risk Reduction:** The Cyber Risk Reduction group performs applied research leveraging PNNL capabilities in hardware, software, and firmware security to benefit sectors critical to national security by figuring out how to deconstruct, evaluate, and improve complex systems and develop tools, practices, and skills to meet these challenges. Disciplines: Cybersecurity Engineering, Computer Engineering, Computer Science, and Network Administration **Innovative Security Solutions:** The evolving technology landscape is transforming the realm of physical protection and incident response, presenting new challenges such as the convergence of physical and cybersecurity threats. These interconnected domains require innovative methods to safeguard IT systems, materials, and vital infrastructure from increasingly complex risks. The Innovative Security Solutions group addresses these challenges by providing critical solutions and support for securing key assets through conventional countermeasures, while also advancing techniques to navigate the complexities of blended security environments. By leveraging operational expertise in asset protection, the group tackles the intricacies of converged security by integrating cyber and physical threat assessments and developing mitigations that enhance the protection of nuclear material and critical infrastructure. Disciplines: Cyber and Physical security, Hardware Vulnerability Assessment, Cyber Security Training **Global Research Analysis:** The Global Research Analysis group leverages national laboratory expertise in mission threats, science and technology, and cultural context to identify emerging and monitor existing technologies and provide decision makers the context and understanding critical to national security. Disciplines: Nuclear Engineering, Physics, Cyber Security **Strategic Threat Analysis:** The Strategic Threat Analysis (STA) group leverages partnerships around the world and expertise spanning multiple domains to address complex domestic and international security challenges. STA equips decision makers with nuanced insights and mitigation strategies in a rapidly evolving threat landscape shaped by emergent adversaries and technologies. Our experts bring a deep understanding of technical analysis, nonproliferation, risk and resilience, strategic trade controls, and regional affairs, delivering solutions that address gaps in legal frameworks, outdated approaches, and vulnerabilities within international systems and institutions. Disciplines: Law and policy analysis, data analysis, nonproliferation, counterproliferation, finance/trade analysis **Mission Alignment:** Bringing together senior technical and strategic advisors as a division-level advisory body to help tune and execute strategy through dedicated leadership. Working across the division's capability areas to capture emerging programmatic opportunities, coach and mentor staff on strategy and business development, support the development and execution of division strategy, and develop strategic new sponsor relationships. **Positions are available in Richland, WA and Seattle, WA, based on business need. Positions may also be performed remotely or on campus at PNNL based on business need. Participants will join the program as part of a cohort, with anticipated start dates in May or June 2026 for the summer cohort.** ******HOW TO APPLY****** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: **Step 1:** Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). **Step 2:** Upload a Cover Letter separately in "Additional Documents" section of the application titled "ET&T - Summer 2026 NSIP Cover Letter". + Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 5:00 p.m. (PST) on the posting close date. **Qualifications** Minimum Qualifications: + Candidates must have received a Bachelor's degree within the past 24 months or within the next 8 months from an accredited college or university Minimum overall GPA of 3.3 required. Preferred Qualifications: + **Disciplines of Interest:** Cybersecurity, Cyber Security Engineering, Computer Science, Software Engineering, Information Technology, Information Systems, Network Engineering, Network Architecture, Network Security, Computer Engineering, Electrical Engineering, Systems Engineering, Information Assurance, Industrial Control Systems (ICS), Cyber-Physical Systems, Physical Security, Security Engineering, Risk Management, Homeland Security, Nuclear Engineering, Physics, Engineering Physics, Applied Science, Data Analytics, Data Science, Economics, Finance, International Relations, International Affairs, Security Studies, Public Policy, Law and Policy, Nonproliferation and International Security **Hazardous Working Conditions/Environment** Not applicable **Additional Information** This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $27.50/Hr. **Maximum Salary** USD $35.77/Hr.

Qualifications BA or BS, wet laboratory experience. Work Schedule Must be willing to work a flexible schedule to meet the needs of the department. .