Postdoctoral Scholar Jobs in Jollyville, TX

ERM is looking for a motivated, detail-oriented Consulting Senior Associate, Remediation to join our growing team in Austin, TX. The successful candidate will work on a variety of interesting site investigation, remediation, and hazardous waste management projects throughout Texas and our Gulf Business Unit. You may also have the opportunity to work on a variety of projects, covering the full spectrum of ERM's services. This is a great opportunity to work with ERM's technical experts to implement the latest investigation and remediation technologies, while building the required experience to obtain your professional registration. RESPONSIBILITIES: Conduct field work, including soil, sediment, groundwater, and surface water sampling, aquifer testing, drilling oversight and soil logging, soil boring and monitoring well installation, well development, purging and sampling, and construction oversight. Coordinate and direct drilling, surveying, and laboratory services. Provide construction oversight on environmental remediation projects, and operations and maintenance of environmental remediation systems. Compile and evaluate soil, groundwater, air, sediment and other environmental data. Assist in preparation of reports for submittal to regulatory agencies. Review groundwater chemistry data and prepare figures/exhibits to support regulatory reporting. Perform Phase I and II environmental site assessments to support property transfer transactions. Assist in ensuring compliance with all federal, state and local regulations. Work within quality/budget/schedule expectations and scope-specific assignments. Communicate with subcontractors, regulatory agents, tenants, and clients during field activities. REQUIREMENTS: BS in geology, hydrogeology, environmental science, or environmental engineering required. Or equivalent experience. 1+ years of experience, including willingness/interest in field assignments. Ability to work independently and as part of a team. Effective written/verbal communication and organization/analytical skills; experience recording/writing detailed technical data and reports required. Ability to succeed in a consulting pace, handling multiple project assignments and maintaining flexibility while meeting strict deadlines. Detail-oriented with mechanical aptitude and hands-on troubleshooting/problem-solving skills. Environmental field work experience and 40-hour OSHA HAZWOPER certification a plus. Up to 50% regional travel Strong commitment to safety, including following established Health and Safety protocols. Driver's License Required: This position requires a valid driver's license and/or the ability to operate a company vehicle due to the nature of job duties, which include frequent travel to various client locations across a large geographical area.

About ION ION Biosciences is a biotechnology company based in San Marcos, TX. We are focused on the development and application of leading-edge fluorescent assay technologies to accelerate fundamental and drug discovery research. Our product portfolio includes fluorescent ion indicators and cell health/metabolism reagents to measure cellular activities in response to compounds such as drugs or other cellular cues, alongside a suite of comprehensive drug discovery services. Position Summary ION is recruiting a Research Scientist I to join our Biology team in San Marcos, TX. The successful candidate will work as part of a multidisciplinary team of scientists to develop novel fluorescence-based cellular assays and research tools. The RS will be primarily responsible for designing and conducting cell-based experiments in an effort to develop target-specific assays and novel technologies. Responsibilities Produce cell lines for use in ion channel, transporter, and GPCR research using state-of-the-art gene-editing tools. Conduct ion channel, GPCR, and other mammalian cell-based assays critical for assay development using a range of fluorescence-based methods and advanced instrumentation (e.g. HTS, fluorescence microscopes, plate readers). Apply expert knowledge of drug discovery screening to enable design and commercialization of innovative solutions for our customers, and deliver high quality screening data for partners. Participate as a key thought leader to motivate new projects and support company-wide innovation initiatives. Routinely create graphics, reports, and presentations to document and share experimental results, and for use in the commercialization and marketing of products. Collaborate with colleagues, partners, and customers to accelerate projects, design experiments, and interpret results as needed. Qualifications Ph.D. degree in Pharmacology, Cell Biology, Biochemistry, or Bioengineering is required. Experience performing fluorescence-based ion channel or GPCR assays is essential. Prior work in a BSL-2 lab (>2 years) with experience conducting multi-well, plate-based assays using high-throughput screening instrumentation is required. Strong data analysis skills, ability to interpret results, design of follow-up experiments, troubleshoot issues with assay performance, and effectively present results and conclusions to co-workers, collaborators and senior leadership.

Apple is seeking a Wireless Research Scientist for the Human Engineering team to integrate RF/wireless technology expertise into the design and development of Apple's wireless products. The role involves supporting product development phases focused on wireless connectivity and collaborating with cross-functional teams including Antenna Design, RF Design, Human Factors, validation, and more. At Apple, we strive to achieve surprise and delight for every one of our millions of customers around the world. If you are passionate about wireless technologies and obsessed with the user experience, we encourage you to apply.Design research studies and test methodologies for RF/wireless product development. Collaborate with the team to plan and execute data collection efforts. Develop scripts for analyzing and visualizing RF/wireless data. Communicate findings and recommendations to leadership and cross-functional design teams.MS or PhD in Electrical Engineering or a related field with 5+ years of experience, with a focus on wireless communication systems or signal processing. Experience developing data pipelines and visualization dashboards. Research experience in human-centered studies and audio perception. Experience with sensing/wireless/RF applications in embedded systems. Strong statistical skills for hypothesis testing and analysis. Array

We are now looking for a Research Scientist - Design Automation! NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? NVIDIA Design Automation research group is seeking leading researchers to work on AI for chip design and accelerated computing for EDA. You should have a strong track record of research excellence; systems-building experience; a broad perspective across areas including EDA algorithms and software, machine learning (Graph, Generative AI, LLM, Agent) , and VLSI chip design methodology. Specific areas of research interest include but are not limited to applications of supervised learning, unsupervised learning, reinforcement learning , generative AI, LLM, Agent and GPU acceleration to EDA algorithms. What you'll be doing: Apply machine learning (Graph, Generative AI, LLM, Agent) and GPU acceleration to EDA software and ASIC and VLSI design tool flows. Research and develop creative and innovative EDA software and algorithms. Collaborate with circuits, VLSI, and architecture team members in research and product teams. Publish and present your original research, speak at conferences and events Collaborate with external researchers and a diverse set of internal product teams. What we need to see: Pursuing Ph.D in EE or related with a strong research record, well-referenced publications and / or patents (or equivalent experience) You should display a strong background in EDA algorithms and software development, machine learning, along with knowledge of VLSI, circuits, IC design, and/or computer micro-architecture fundamentals. Experience with C, C++, Python, and scripting languages. Background with commonly used machine learning frameworks (PyTorch, Tensorflow). Experience with CUDA and GPU computing Strong communication skills needed. Being a creative and dynamic presenter is a huge advantage. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you! The base salary range is 160,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. The ideal candidate will have established expertise in artificial intelligence and machine learning, particularly in areas such as deep learning, computer vision, and reinforcement learning. **Required Skills:** Fundamental AI Research Scientist, Computer Vision - FAIR Responsibilities: 1. Develop algorithms based on state-of-the-art machine learning and neural network methodologies. 2. Conduct research to advance the science and technology of intelligent machines. 3. Conduct research that enables learning the semantics of data (images, video, text, audio, speech and other modalities). 4. Contribute to and apply research that advances Meta Platforms products. 5. Conduct and collaborate on research projects within a globally-based team. **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 7. PhD degree in the field of Artificial Intelligence, Computer Vision, Machine Learning, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta. 8. 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning. 9. First-Author Contributions and / or Publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH). 10. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward. 11. Experience communicating research for public audiences of peers. 12. 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: 13. 4+ years of work experience in an industry, university, or government lab. **Public Compensation:** $147,000/year to $208,000/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@fb.com.

Job Posting Title: Postdoctoral Scholar, Department of Petroleum and Geosystems Engineering, Cockrell School of Engineering * --- Hiring Department: Hildebrand Department of Petroleum and Geosystems Engineering * --- All Applicants * --- Weekly Scheduled Hours: 40 * --- FLSA Status: Exempt * --- Earliest Start Date: Immediately * --- Position Duration: Expected to Continue Until Feb 02, 2023 * --- Location: UT MAIN CAMPUS * --- Job Details: As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global leader in technology innovation and engineering education for over a century. With 11 undergraduate and 13 graduate programs, over 20 research centers and a faculty community that boasts one of the highest number of National Academy of Engineering members among U.S. universities, Texas Engineering has launched some of the nation's most accomplished leaders and pioneered world-changing solutions in virtually every industry, from space exploration to energy to health care. Situated in the heart of Austin - named "America's Coolest City" by Expedia and "The Best Place to Live in the U.S." by U.S. News and World Report - the Cockrell School embodies the city's innovative spirit. Major companies with Austin campuses, such as Dell, National Instruments, Apple, IBM, Samsung, Google, and many others, continue to recruit Cockrell School students at a remarkable rate, launching thousands of successful careers and developing Texas Engineers into industry leaders. A Postdoctoral Scholar position is available in Professor Arvind Ravikumar's Sustainable Energy Transition lab (SET Lab) in the Department of Petroleum and Geosystems Engineering at UT Austin. This position will focus on developing open-source sustainability data analytics tools related to reducing greenhouse gas emissions across the liquefied natural gas (LNG) supply chain. Specific research topics can include (a) developing integrated lifecycle assessment and techno-economic modeling tools to assess emissions mitigation policies, (b) developing analytical tools to aggregate and interpret methane emissions data from networked sensor deployment, (c) developing models to estimate quasi real-time methane emissions from oil and gas operations. More information about the SET lab can be found here: *********************** General Notes This is a temporary training position that may be renewed annually, for a maximum of five years, based upon performance review, progress towards research goals, and continuation of funding. Responsibilities * Designs, implements, and tests models to assess greenhouse gas emissions across the LNG supply chain. Model requirements will be mutually decided based on project needs and interests of the candidate and can include one of the following: (a) developing integrated lifecycle assessment and techno-economic modeling tools to assess emissions mitigation policies, (b) developing analytical tools to aggregate and interpret methane emissions data from networked sensor deployment, (c) developing models to estimate quasi real-time methane emissions from oil and gas operations * Works with collaborators to validate models, develop user-friendly online interfaces, conduct workshops for various stakeholders in industry, finance, and government on the use of the models * Communicates model insights to a variety of audiences of academia, industry, and government through peer-reviewed publications, presentations, policy memos, and other forms of stakeholder engagement * Performs other related duties as assigned Required Qualifications Ph.D. in Engineering received within the past 3 years or expect to receive the degree by Spring 2022 (Systems, Petroleum, Environmental, Mechanical, Electrical, Chemical). Demonstrated experience in statistical modeling, data analysis, and scientific programming languages (Python, Matlab, or R). Experience or familiarity with one of the following: life cycle assessment of energy systems, atmospheric dispersion modeling of greenhouse gas emissions, methane emissions from oil and gas operations. Strong interest in translating engineering research into policy-relevant insights. Ability to work well with cross-functional, and varied teams. Ability to manage and lead external engagement and collaboration on projects. Preferred Qualifications Working knowledge in one or more of the following areas: oil and gas operations, greenhouse gas emissions from fossil fuel extraction, geospatial analysis of greenhouse gas emissions. Excellent written and oral communication skills, along with a demonstrable ability to reach a variety of audiences in academia, industry, and government. Salary Range $55,000 + depending on qualifications Working Conditions * May work in standard office conditions Physical Tasks * May require repetitive use of keyboard at a workstation * May require use of manual dexterity Required Materials * Resume/CV * 3 work references with their contact information; at least one reference should be from a supervisor * Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left-hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled into your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. * --- Employment Eligibility: Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation. * --- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. * --- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. * --- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. * --- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. * --- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. * --- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: * E-Verify Poster (English) [PDF] * E-Verify Poster (Spanish) [PDF] * Right To Work Poster (English) [PDF] * Right To Work Poster (Spanish) [PDF] * --- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

WGNSTAR is a dynamic and growing company with a global footprint. Primarily focused on the semiconductor industry, we provide a platform for you to expand your career with knowledge gained on the job, and tailored development. We know we need talented people like you that hold similar values, which is why we do not put limits on learning, development, industry, and personal growth. Start your path to a WGNSTAR career today! Schedule: Monday to Friday Pay Rate: $53 -56/hr Location: Austin, TX (Hybrid Role, 2 days remote/3 days in office) Position Type: Full Time Benefits: This position is eligible for WGNSTAR's full benefits package, including Medical, Dental, Vision, and 401(k). Additional benefits are listed at the end of this posting. Principal Duties and Responsibilities: * Build chemical models to better understand and optimize photolithography applications consisting of single-wafer chemical fluid transport and reactions. * Build chemical models into simulation software to optimize tool design and/or process conditions. * Model chemical reactions on semiconductor surfaces. * Prepare CFD and/or finite element simulation to understand and optimize equipment performance. * Prepare predictive models to understand process performance for next-generation device length scales. * Collaborate with other scientists and engineers within the development team. * Fully document work to provide colleagues with enough detail to maintain engineering simulations and/or code. * Strong emphasis is placed on candidates who can find solutions to difficult problems through structured project management while working in a team environment. * Good communication skills are considered critical. The candidate will communicate project goals and status updates internally and externally. * Some domestic and international travel are required. Requirements: * The candidate must have a PhD degree in Chemistry, Physics, or equivalent field specializing in computational Chemistry. * Strong cause-effect analytical and troubleshooting abilities are required. * Multiscale modeling: experience using nanoscale phenomena to determine macroscale properties and predict effects on the nanoscale when changing macroscale conditions is required. * Strong project management experience is required. * Strong technical writing ability is required. * Excellent presentation and verbal communication skills are required. * Ability to execute tasks with minimal oversight is required. * Finite element and/or CFD simulation experience is required. * Extensive experience using COMSOL software is required. * Experience in coding with MATLAB, Python, etc. to solve technical problems is desired. * Knowledge of photolithography and the semiconductor industry is desirable Additional Benefits: Paid Vacation, Select Holidays, Overtime Opportunities, On-site Facilities & Career Development Opportunities. The people who thrive most at WGNSTAR are those individuals who perform well in a team environment, enjoy interacting and engaging with several different stakeholders, and adapt quickly to changing environments, while leveraging their skills, quality, and knowledge to drive themselves and their teams towards continuous improvement and success. This is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. Apply for this job

Optiver is seeking Machine Learning Researchers to join our High Frequency Trading Team. Our HFT team is comprised of Researchers and Software Engineers who focus on designing, improving and executing trading strategies using machine learning. We're looking for someone to create and improve machine learning models, conduct signal/alpha research, and deliver improved predictions from which to run trading strategies. You'd work on a close-knit team that applies quantitative expertise and scientific training to solve tough, interdisciplinary problems. Who we are: At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe. What you'll do: We're looking for Machine Learning Researchers who will be versatile, flexible and creative in building and fine-tuning our ML models. As a Researcher, you'll work on complex, high-impact projects that result in instant feedback for both your team and for the business. Conduct research to improve our price forecasting models using machine learning on historical data Collaborate with peers in reviewing research and solving problems Improve the research workflow to facilitate rapid innovation and increase the productivity of the team Participate in strategic discussions to help set the direction of our business growth See the direct impact of your work in production Who you are: 2+ years of industry experience building applied ML models Experience with bringing research to production on real-world applications Proven experience in machine learning, deep learning, computer vision, natural language processing, reinforcement learning or a related field Bachelors, Masters, and/or PhD in computer science, machine learning, statistics, mathematics, physics, or a related STEM field Experience using Python libraries for data science and machine learning research Experience in computationally intensive research on very large data sets Thrive in a collaborative research environment Strong publication record in relevant conferences and journals is a plus This is an experienced role - current students and/or recent graduates might consider applying to our Graduate Quantitative Researcher or Quantitative Researcher Intern positions listed on our website What you'll get: You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets. In addition, you'll receive: The opportunity to work alongside best-in-class professionals from over 40 different countries A highly competitive compensation package Global profit-sharing pool and performance-based bonus structure 401(k) match up to 50% Comprehensive health, mental, dental, vision, disability, and life coverage 25 paid vacation days alongside market holidays Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is seeking Machine Learning Researchers to join our High Frequency Trading Team. Our HFT team is comprised of Researchers and Software Engineers who focus on designing, improving and executing trading strategies using machine learning. We're looking for someone to create and improve machine learning models, conduct signal/alpha research, and deliver improved predictions from which to run trading strategies. You'd work on a close-knit team that applies quantitative expertise and scientific training to solve tough, interdisciplinary problems. Who we are: At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe. What you'll do: We're looking for Machine Learning Researchers who will be versatile, flexible and creative in building and fine-tuning our ML models. As a Researcher, you'll work on complex, high-impact projects that result in instant feedback for both your team and for the business. * Conduct research to improve our price forecasting models using machine learning on historical data * Collaborate with peers in reviewing research and solving problems * Improve the research workflow to facilitate rapid innovation and increase the productivity of the team * Participate in strategic discussions to help set the direction of our business growth * See the direct impact of your work in production Who you are: * 2+ years of industry experience building applied ML models * Experience with bringing research to production on real-world applications * Proven experience in machine learning, deep learning, computer vision, natural language processing, reinforcement learning or a related field * Bachelors, Masters, and/or PhD in computer science, machine learning, statistics, mathematics, physics, or a related STEM field * Experience using Python libraries for data science and machine learning research * Experience in computationally intensive research on very large data sets * Thrive in a collaborative research environment * Strong publication record in relevant conferences and journals is a plus * This is an experienced role - current students and/or recent graduates might consider applying to our Graduate Quantitative Researcher or Quantitative Researcher Intern positions listed on our website What you'll get: You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets. In addition, you'll receive: * The opportunity to work alongside best-in-class professionals from over 40 different countries * A highly competitive compensation package * Global profit-sharing pool and performance-based bonus structure * 401(k) match up to 50% * Comprehensive health, mental, dental, vision, disability, and life coverage * 25 paid vacation days alongside market holidays * Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. You are viewing: Apply now Machine Learning Researcher

We Are Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Advanced AI Research Scientist Associate Director, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. * You lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems. * You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios). * As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem. * As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value. * You will direct/influence research direction & set strategic research priorities for short-term & long-term workstreams * You will also work collaboratively with teams & leaders from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals. The Work * Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems. * Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques. * Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks. * Lead technical teams and grow true AI expertise within broader team including offshore * Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders. * Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency. * Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI. * Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development. * Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Qualification Here's What You Need * Minimum of 7 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models. * Minimum of 6 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models. * Minimum of 7 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space. * Minimum of 7 years of working knowledge and familiarity with different LLM driven application architecture patterns. * Minimum of 7 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs. * Minimum of 7 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture. * Minimum of 7 years of proven experience with processor and system-level performance modelling. * Minimum of 4 years of experience of technical team management or team mentoring. * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $132,500 to $338,300 Colorado $132,500 to $292,200 District of Columbia $141,100 to $311,200 Illinois $122,700 to $292,200 Minnesota $132,500 to $292,200 Maryland $122,700 to $270,600 New York $122,700 to $338,300 Washington $141,100 to $311,200 #LI-NA-FY25 Locations

Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission! A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape. Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset - Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees. This position will be responsible for performing non-research molecular testing to rapidly identify and characterize potential pathogenic bacterial and viral threat agents. Ensures incoming biological samples are processed and triaged maintaining chain of custody. Performs and interprets a variety of specialized tests and strains, detection, and identification of pathogenic microorganisms. Prepares written and oral reports, answers questions, troubleshoot and makes recommendations to the supervisor for inclusion in comprehensive reports on test findings. Maintains and operates equipment including performing calibrations, adjustments, and to operate equipment and instruments properly and in a safe manner. Participates in cross training related to bioterrorism and other public health emergencies. Additionally, will be responsible for maintaining knowledge and skills related to position and program and to carry out all procedures in accordance with proper handling and storage of various biological materials. Must be available 24/7/365 to respond in case of emergency. Rotating weekends and some holidays are required. Kindly be aware that drug screening is a mandatory condition of employment for this position. REQUIRED QUALIFICATIONS: Bachelor's degree from an accredited university in microbiology, molecular biology, or related course work in biological sciences. REQUIRES at least one year of laboratory bench experience, utilizing PCR, aseptic techniques and experience with biological assays. Laboratory training that is assigned or accompanies an associated course is not considered applicable training. Biological Safety Level (BSL)-3 experience is highly desirable. This position supports a federal contract which requires that all employees and job applicants hold a valid Green Card or US Citizenship at the time of application. #LI-OnSite A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.

This position is a unique opportunity to work alongside financial experts in conducting original finance and economic research. The position involves responsibilities that serve as excellent preparation for Ph.D. programs in finance or economics, including data processing and analysis, model design, simulation techniques, literature reviews, and presentations. The research fellows will work closely with Dr. John Griffin (and his co-authors) on research projects in forensic finance, blockchain and cryptocurrency, structured finance, or healthcare. Dr. Griffin is seeking applicants who are dedicated to rigorous research and motivated to study fraud. Research fellows are welcome to request recommendation letters from the financial experts with whom they work. Dr. Griffin is a leading expert in forensic finance, the James A. Elkins Centennial Chair in Finance at The University of Texas at Austin, McCombs School of Business, as well as CEO and president of Integra FEC. His expertise is in structured finance, credit ratings, international finance, and institutional investments with topics of papers including: the financial crisis, manipulation, cryptocurrencies, mortgage misreporting, credit ratings, insider trading, investment banking, corruption, trading behavior, and international finance. Dr. Griffin's research has been extensively published and cited in top journals such as American Economic Review, Journal of Finance, Journal of Financial Economics, and Review of Financial Studies and featured in over 600 media outlets including Bloomberg , Wall Street Journal , New York Times , and Financial Times . Integra is a forensic data analytics firm that seeks to identify, investigate, and analyze securities and financial fraud. Integra's clients include federal and state enforcement agencies. Integra has a team of experts comprising of leading academics and professionals with deep experience in trading markets, cryptocurrencies, structured finance, and credit ratings. This is a two-year position based in Austin, TX. Main responsibilities include: Conducting research to develop and investigate hypotheses in forensic finance: topics may include cryptocurrencies, derivatives, or other complex financial instruments Data extraction and processing: writing scripts to retrieve and organize data Data analysis: analyzing large datasets to find insights and fraudulent patterns, by thoughtfully applying the appropriate tools and algorithms The desired qualifications are as follows: Bachelor's degree in mathematics, economics, computer science, statistics, engineering, physics, or other quantitative field Demonstrated experience with Python and SQL, or R Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Prior research experience, either for independent research or as research assistant Excellent grades Potential interest in pursuing a Ph.D. in Finance, Statistics, Economics, or other quantitative field in the future. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

The CPU Platform Architecture team is responsible for pushing the boundaries of both single-threaded and multi-threaded CPU performance, to enhance the user experience of many Apple products. The team is composed of experts with deep experience in microarchitecture, ISA definition, performance modeling, power modeling, and workload analysis. We are seeking a highly motivated, innovative, and confident individual to join the CPU Platform Architecture team to help drive advanced exploration for next-generation iPhone, iPad, and Mac CPU designs.In this research-centric role, you will be responsible for exploring and defining next-generation CPU architectures that seek to maintain performance and efficiency leadership. This role will challenge you to: * Discover insight into CPU performance bottlenecks and drive improvements to performance through architectural and microarchitectural enhancements * Set direction for next-generation high performance CPU's in such areas as: branch prediction, instruction/data prefetching, memory subsystem, or other CPU areas * Build the right tools suited for performance analysis so that you can parse through the noise and focus on the real challenges * Apply AI/ML techniques as both a tool for exploration and for CPU algorithmic feature improvement * Conduct continuous research into one or more CPU areas, brainstorm ideas, and model ideas in a performance simulator to refine and prove their utility * Present analysis/findings to guide CPU architecture and design teams on features that should be implemented in future CPU's * Work cross-functionally with software and system partners * Provide recommendations and influence the roadmap for future Apple CPU's used in iPhone, iPad, and Mac systems Expertise in one or more disciplines within CPU architecture: branch prediction, instruction or data prefetching, value prediction, caching policies, etc. Ability to identify performance bottlenecks in workloads in effort to craft ideas to solve them and ability to implement those ideas in a performance simulator Experience applying traditional or state-of-the-art machine learning techniques to novel problems. Knowledge of model development and tuning a plus Knowledge and experience with common industry performance benchmarks and workloads 10+ years of relevant experience PhD in Computer Science or Computer Engineering with a focus in Computer ArchitectureArray

At Meta Reality Labs, we're developing the input technologies that will define the future of the virtual and augmented reality computing platforms. We are looking for a creative, skilled and motivated Research Scientist to join our machine perception team in advancing the state-of-the-art of human understanding, action recognition and statistical text decoding. You will work with research scientists, software engineers and hardware engineers to design technical solutions in a fast-paced multidisciplinary environment. **Required Skills:** AI Research Scientist - Computer Vision Responsibilities: 1. Contribute to and apply research that advances Meta products by developing novel input technologies for VR, MR and AR systems based on computer vision and machine learning. 2. Design and prototype interactive experiences and evaluate them through user research. 3. Design and prototype data collection systems to accelerate machine learning. 4. Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.). **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 6. PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning and/or computer vision. 7. Proven experience in designing data collection protocols and quality control, manifested in solid contributions in constructing high quality computer vision and machine learning datasets. 8. Technical knowledge across a range of topics including machine learning, optimization, Bayesian statistics and state estimation. 9. Experience innovating or extending research ideas for new problem domains or for fitting new constraints. 10. Interpersonal experience: cross-group and cross-culture collaboration. **Preferred Qualifications:** Preferred Qualifications: 11. Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product. 12. Experience with joint hardware-software development and associated rapid prototyping. 13. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at AI conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NeurIPS, ICLR, ACL or similar. 14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub). **Public Compensation:** $147,000/year to $208,000/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@fb.com.

The University of Texas at Austin School of Architecture invites applications and nominations for its 2025-27 Emerging Scholar in Design Fellowship. This prestigious, two-year fellowship, commencing August 15, 2025, offers promising individuals at the beginning of their academic careers in architecture and its allied fields the opportunity to develop a distinctive body of work and to provides a unique teaching experience in the context of a supportive academic environment. The school is seeking a candidate that is highly motivated and positioned to integrate their scholarly trajectory with their pedagogical agenda at particular, self-selected scales and modalities. The scholar will teach two design studios and one elective or support course each year. Teaching responsibilities may involve both graduate and undergraduate students. In addition to teaching, the successful candidate is expected to contribute to the school's intellectual life by engaging in critical theoretical or creative work, which they will develop during their time as the emerging scholar and present to the SOA community in the last semester of their appointment in a public format, such as a symposium and/or exhibition, and a work-in-progress presentation around the end of their first year. Position comes with a teaching salary, moving expenses, and research funding. For more about previous and current Emerging Scholars in Design, see ********************************** General Background The University of Texas at Austin is one of the largest and most highly regarded public research universities in the United States, situated in its 11th most populous city, Austin, which is consistently ranked one of the best places to live in the USA. The School of Architecture at UT Austin offers professionally accredited degree programs in Architecture, Interior Design, Landscape Architecture, and Community and Regional Planning as well as accredited post-professional and research degree programs in Sustainable Design, Urban Design, Historic Preservation, and Architectural History. The School houses one of the largest building-materials libraries in the United States, an extensive book Library, a Technology Lab dedicated to supporting research in AR/VR, drones, robotics, and digital fabrication, as well as interdisciplinary access, if arranged, to the University's vast intellectual and research resources. For more information about the School of Architecture, its programs, and its people, please visit the website: *******************

We Are Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. * You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems. * You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios). * As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem. * As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value. * You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals. The Work * Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems. * Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques. * Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks. * Lead technical teams and grow true AI expertise within broader team including offshore * Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders. * Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency. * Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI. * Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development. * Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. This is a hybrid role based in Mountain View, California. Qualification Here's What You Need * Minimum of 4 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models. * Minimum of 4 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models. * Minimum of 4 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space. * Minimum of 4 years of working knowledge and familiarity with different LLM driven application architecture patterns. * Minimum of 4 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs. * Minimum of 4 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture. * Minimum of 4 years of proven experience with processor and system-level performance modelling. * Minimum of 2 years of experience of technical team management or team mentoring. * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years' work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $73,800 to $220,400 Colorado $73,800 to $190,400 District of Columbia $78,500 to $202,700 Illinois $68,300 to $190,400 Minnesota $73,800 to $190,400 Maryland $68,300 to $176,300 New York $68,300 to $220,400 Washington $78,500 to $202,700 #LI-NA-FY25 Locations

**Austin, Texas, United States** **Hardware** Role Number: **200574211** The CPU Platform Architecture team is responsible for pushing the boundaries of both single-threaded and multi-threaded CPU performance, to enhance the user experience of many Apple products. The team is composed of experts with deep experience in microarchitecture, ISA definition, performance modeling, power modeling, and workload analysis. We are seeking a highly motivated, innovative, and confident individual to join the CPU Platform Architecture team to help drive advanced exploration for next-generation iPhone, iPad, and Mac CPU designs. **Description** In this research-centric role, you will be responsible for exploring and defining next-generation CPU architectures that seek to maintain performance and efficiency leadership. This role will challenge you to: - Discover insight into CPU performance bottlenecks and drive improvements to performance through architectural and microarchitectural enhancements - Set direction for next-generation high performance CPU's in such areas as: branch prediction, instruction/data prefetching, memory subsystem, or other CPU areas - Build the right tools suited for performance analysis so that you can parse through the noise and focus on the real challenges - Apply AI/ML techniques as both a tool for exploration and for CPU algorithmic feature improvement - Conduct continuous research into one or more CPU areas, brainstorm ideas, and model ideas in a performance simulator to refine and prove their utility - Present analysis/findings to guide CPU architecture and design teams on features that should be implemented in future CPU's - Work cross-functionally with software and system partners - Provide recommendations and influence the roadmap for future Apple CPU's used in iPhone, iPad, and Mac systems **Minimum Qualifications** + B.S. degree + Familiarity with CPU architecture or microarchitecture concepts + Research experience and knowledge of CPU microarchitecture or AI/ML literature + Programming experience in either Python or C/C+ **Preferred Qualifications** + Expertise in one or more disciplines within CPU architecture: branch prediction, instruction or data prefetching, value prediction, caching policies, etc. + Ability to identify performance bottlenecks in workloads in effort to craft ideas to solve them and ability to implement those ideas in a performance simulator + Experience applying traditional or state-of-the-art machine learning techniques to novel problems. Knowledge of model development and tuning a plus + Knowledge and experience with common industry performance benchmarks and workloads + 10+ years of relevant experience + PhD in Computer Science or Computer Engineering with a focus in Computer Architecture Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (*********************************************************************************************** . Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (*********************************************************************************************** . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (******************************************************** . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job Posting Title: Postdoctoral Researcher (Planetary Magnetism) * --- Hiring Department: Institute for Geophysics * --- All Applicants * --- Weekly Scheduled Hours: 40 * --- FLSA Status: Exempt * --- * --- Expected to Continue Until Aug 31, 2025 * --- Location: PICKLE RESEARCH CAMPUS * --- Job Details: UTIG is one of the three research units of the Jackson School of Geosciences at the University of Texas at Austin. Scientists and students at UTIG conduct expeditionary research in Earth Science in all parts of the world and are also involved in planetary missions and climate modeling. These research projects produce large data sets and require computational analysis and visualization. Your skills will make a difference You will be working for a university that is internationally recognized for our academic programs and research. You will be part of an international effort at the forefront of advancing the energy transition. You will be part of a vibrant university experience that interweaves students, engineering and support staff and senior scientists. You will be part of a team, launching young people on their careers and advancing fundamental and applied science. UT Austin provides an outstanding benefits package including: * Competitive health benefits (employee premiums covered at 100%) * Voluntary Vision, Dental, Life, and Disability insurance options * Generous paid vacation, sick time, and holidays * Hybrid work schedule * Teachers Retirement System of Texas, a defined benefit retirement plan, with 8.25% employer matching funds * Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) * Flexible spending account options for medical and childcare expenses * Robust free training access through LinkedIn Learning plus professional conference opportunities * Tuition assistance * Expansive employee discount program including athletic tickets * Free access to UT Austin's libraries and museums with staff ID card * Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card For more details, please see: ****************************************** and ******************************************************* About the Position Planetary magnetism is a fundamental and yet imperfectly understood process that is related to the deep internal structure and thermal evolution of planets. Computer modeling is an important tool to help advance our understanding of the thermal and magnetic histories and futures of rocky planets in our solar system and beyond. UTIG seeks a postdoctoral scholar who can contribute to ongoing work to better characterize the physical and chemical conditions required to drive and sustain core dynamos inside rocky planets and/or to help investigate what remanent crustal magnetization can tell us about the magnetic histories of these bodies. The successful candidate would work primarily with Dr. Douglas Hemingway but will have opportunities to collaborate with other researchers at UTIG, across the Jackson School of Geosciences, and across the wider UT campus. Candidates should be self-motivated and interested in a collaborative working environment, which may include working closely with faculty, students, and other postdoctoral researchers. Candidates should have a strong background in physics and mathematics as well as expertise in geophysics, geodynamics, geochemistry, and/or computer modeling (experience with Matlab or similar is preferred, but not required). In addition to supporting ongoing work at UTIG, the successful candidate will be encouraged to initiate and lead their own projects with support from Dr. Hemingway and other researchers. The position is open now and will be filled as soon as a suitable candidate is identified. Start date is negotiable. The appointment is for up to two years, contingent on performance. The successful candidate will have access to up to $10,000 to be used towards research expenses and professional development. Responsibilities * Develop computer models of geodynamical processes in planetary interiors, especially related to thermal evolution, dynamo generation, and/or crustal magnetism. * Contribute to ongoing research projects related to the magnetic evolution of Mercury, Venus, Earth, Mars, the Moon, and rocky exoplanets. * Help develop and lead new research projects in related areas. * Contribute to research within a vibrant group of students, postdocs, and staff. * Present results to the scientific community and broader public. Required Qualifications * Ph.D. in planetary science, physics, astronomy, geophysics, or a related field, completed within the last three years. * Strong background in mathematics and programming (Matlab or similar preferred). * Excellent communication skills and a collaborative working mindset. * Strong publication record in closely related research topics. Preferred Qualifications * Research experience with modeling planetary interiors, especially rocky planets. * Research experience related to the formation, differentiation, and thermal evolution of planetary interiors, especially rocky planets. Working Conditions * May work around standard office conditions. * Repetitive use of a keyboard at a workstation. Salary $65,000 Required Application Materials Curriculum Vitae (including list of publications) Brief (~2 page) statement of research interests Contact information for three references Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. * --- Employment Eligibility: Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation. * --- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. * --- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. * --- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. * --- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. * --- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. * --- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: * E-Verify Poster (English) [PDF] * E-Verify Poster (Spanish) [PDF] * Right To Work Poster (English) [PDF] * Right To Work Poster (Spanish) [PDF] * --- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

We Are Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence (************************************************************************************************************************************* brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. + You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems. + You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios). + As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem. + As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value. + You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals. The Work + Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems. + Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques. + Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks. + Lead technical teams and grow true AI expertise within broader team including offshore + Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders. + Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency. + Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI. + Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development. + Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. This is a hybrid role based in Mountain View, California. Here's What You Need + Minimum of 4 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models. + Minimum of 4 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models. + Minimum of 4 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space. + Minimum of 4 years of working knowledge and familiarity with different LLM driven application architecture patterns. + Minimum of 4 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs. + Minimum of 4 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture. + Minimum of 4 years of proven experience with processor and system-level performance modelling. + Minimum of 2 years of experience of technical team management or team mentoring. + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years' work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Annual Salary Range California $73,800 to $220,400 Colorado $73,800 to $190,400 District of Columbia $78,500 to $202,700 Illinois $68,300 to $190,400 Minnesota $73,800 to $190,400 Maryland $68,300 to $176,300 New York $68,300 to $220,400 Washington $78,500 to $202,700 #LI-NA-FY25 What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (*********************************************************************** Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (********************************************************************************************************************************************** . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at ****************, send us an email (************************************************* or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.