Doctoral Fellow jobs at University of Maryland, Baltimore

Job Description SummaryNOAA Living Marine Resources Cooperative Science Center (LMRCSC) The Department of Natural Sciences invites applications for a full-time, twelve-month tenure-track or tenured faculty position of NOAA LMRCSC Distinguished Research Scientist. The Department of Natural Sciences offers B.S. degrees in various disciplines, and M.S and Ph.D. interdisciplinary programs in Marine-Estuarine Environmental Sciences (MEES), and M.S. and Ph.D. degrees in Toxicology. Responsibilities: • Provide leadership to expand the Center's research work in NOAA fisheries related areas. • Facilitate and coordinate research among the Center partner institutions and with NOAA Fisheries. • Seek and attract external funding to support the LMRCSC as well as assist and involve other faculty and students in promoting research and scholarship. • Coordinate the annual LMRCSC Science meetings, Request for Proposals (RFP), and proposal review process conducted by the Center's Technical Advisory Board. • Facilitate student professional development. • Serve as the Center's point of contact for initiating student Experiential Research Training Opportunities at NOAA. • Conduct research in his/her field of expertise. • Recruit and mentor graduate students. • Publish in scholarly journals. • Teach one course a semester in his/her area of specialty. • Perform other related duties as assigned. Required Minimum Qualifications: • Ph.D. in marine science, fisheries science, biology or zoology, from a regionally accredited institution of higher education. • At least ten years of successful teaching and/or research experience in a university, federal or state agency. • Significant record of grantsmanship, research, and publication in marine and/or fisheries sciences. • Evidence of participation in professional organizations. Preferences: • Advanced open-water Diving or Instructor Certifications Knowledge/Skills/Abilities: • Demonstrated ability to lead, manage, and coordinate an interdisciplinary research program. • Effective interpersonal, verbal and written communication skills. Physical Demands: • May require extended periods of standing, bending, sitting at desk. • May require lifting up to 25 lbs. • May require communication with a variety of constituents externally and internally. • May require operation of a variety of office equipment.Additional Job Details Required Application Materials: Letter of Interest, Curriculum Vitae, unofficial transcript (official transcripts will be required once an offer is accepted), and the names of three current professional references (current or past supervisor) including e-mail address, and telephone number (current supervisor will not be contacted without the candidate's prior consent). All applicants must apply using the new online application system. Please visit ************************************** to apply. The successful candidate must be able to show acceptable documentation establishing the right to accept employment in the United States of America without employer sponsorship. Best Consideration Date: N/A Posting Close Date: N/A Open Until Filled: Yes DepartmentUMES-AGNS-Natural SciencesWorker Sub-Type Faculty RegularSalary Range$145,000 - $165,000EEO Statement UMES is an EEO/AA employer and will not discriminate against any employee or applicant because of race, age, sex, color, sexual orientation, religion, national origin, marital status, genetic information, or political affiliation. Minorities, women, veterans, and persons with disabilities are encouraged to apply. The successful candidate must be able to show acceptable documentation establishing the right to accept employment in the United States of America without employer sponsorship. Diversity Statement The University of Maryland Eastern Shore (UMES) is an equal access, equal opportunity institution fully committed to diversity in education and employment. All students, employees, and the campus community at UMES are valued, respected, and have the opportunity to receive an equitable experience in an inclusive, welcoming environment of openness and appreciation. Title IX Statement It is the policy of the University of Maryland Eastern Shore (UMES) to comply with Title IX of the Education Amendments of 1972, which prohibits discrimination (including sexual harassment and sexual violence) based on sex in the University's educational programs and activities. Title IX also prohibits retaliation for asserting or otherwise participating in claims of sex discriminations or harassment.

Job Title Postdoctoral Associate Division Divison of Academic Affairs Department National Transportation Center Job Effective Date 12/01/2025 Job End Date 12/30/2027 Work Status Full Time Position Category Contractual FLSA Exempt Annual Salary $50,000 - $75,000 / year Pays United States Percentage Amount 100 Fund Source Federal/Grant Requisition Reason New Job Duties * Conduct Research and Data Analysis * Connected and Automated vehicles * Cybersecurity * Prepare Publications and Reports * Mentor Graduate and Undergraduate Students * Proposal Development * Collaboration and Outreach * Administrative and Compliance Activities Requested Minimum Qualifications Education: * Ph.D. degree by the start date of employment, in the following fields from an accredited college or university: transportation engineering, applied mathematics, statistics, economics, computer science, electrical engineering, mechanical engineering, and/or other relevant STEM fields. Experience: * Hands-on experience with AI/ML and statistical modeling and programming in Python, Matlab, C/C++, or other object-oriented programming languages, as well as R, Julia, Stan, WinBUGS, and so on. * Experience with Connected and Automated Vehicles Technology * Experience with mentoring Ph.D. students and managing multiple projects funded by DOTs and the NSF. * Strong interest and self-motivation to perform cutting-edge research and overcome challenges in real-world engineering, and to publish high-impact papers. * Strong background in transportation engineering, smart cities and mobility, traffic safety, smart sensing, artificial intelligence/machine learning, big data analytics, and/or applied statistics. Other Preferences for Consideration * Strong background in linear algebra, probability theory, and computational mathematics. * Experience in developing machine learning models using Pytorch, TensorFlow, and/or other relevant packages/platforms.

Job Summary: The NYU Program of Nutrition at Steinhardt and the Institute of Human Development and Social Change (IHDSC) are seeking a Postdoctoral Associate to support Dr. Angela Trude and the OPT-FRESH research team. This role will provide comprehensive involvement in all aspects of the project, including protocol development, data collection and analysis, manuscript preparation, and dissemination of study findings. The Postdoctoral Associate will devote 12 person-months of effort each year to the project, Data Management and Sharing activities, assisting the Data Manager with data curation and documentation. Project Overview: OPT-FRESH is a 5-year NIH-funded intervention trial addressing gaps in healthy food access among low-income families. Using the multiphase optimization strategy (MOST), the study tests three intervention components designed to reduce barriers to online healthy food purchases: 1) weekly text messages to improve trust in online grocery services; 2) weekly match of up to $10 as a financial incentive for purchasing FVL online; and 3) weekly instant shoppable grocery lists of tailored meal suggestions using SNAP-Ed recipes. OPT-FRESH will provide a unique opportunity to identify effective, scalable, and efficient strategies that could be used to reach the over 44 million people in the U.S., including six million children, experiencing food insecurity, thus addressing important social determinants of health that explain health disparities related to cardiovascular disease. Specific Responsibilities: Support the PI and research team in all aspects of study design, protocol development, and implementation. Conduct data collection, management, and analysis, including qualitative and quantitative methods. Assist the Data Manager with Data Management and Sharing activities (e.g., data curation, documentation, compliance with NIH data-sharing requirements). Contribute to manuscript writing, grant proposals, and dissemination of findings through academic presentations, policy briefs, and community reports. Facilitate communication and collaboration among investigators, research staff, and community partners. Support supervision and mentoring of graduate research assistants and student volunteers. Participate in regular team meetings, workshops, and events related to the project. Working Conditions In-person: meetings, recruitment, and data collection will be in-person. Meetings will be conducted in the NYU Washington Square Campus, where the Postdoctoral Associate will have a designated work-desk and computer. Recruitment and data collection will occur in the Bronx. Public transportation costs related to recruitment and data collection are reimbursed. Time Frame One-year position with potential renewal for up to five years. In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $62,500-$65,000. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer. Per NYU's remote-work policy, this position is expected to be completely in-person. This position will have some supervisory responsibilities, assisting the Project Coordinator in supervising at least 4 graduate student researchers and student volunteers. Qualifications and Competencies: PhD in Nutrition, Public Health, Food Policy, or a related field. Strong background in research methods, including study design, data collection, and analysis. Experience with Data Management and Sharing practices, including data curation and documentation. Demonstrated record of scientific writing and dissemination. Experience with community-engaged research, interventions, or public health programs preferred. Strong organizational, interpersonal, and collaborative skills. Sensitivity to racial, cultural, and economic diversity; familiarity with NYC communities preferred. Willingness to travel locally within New York City for recruitment and data collection.

Job Title Optical Diagnostics for Plasma Etching Postdoc Researcher Division Research & Economic Development Department NIST PREP Job Effective Date 12/01/2025 Job End Date 12/01/2026 Work Status Full Time Position Category Contractual FLSA Annual Salary Pays $82,000 / year Percentage Amount Fund Source Federal/Grant Requisition Reason New Job Duties * Assembly, maintenance, and safe operation of plasma processing systems, including vacuum pumps * Design and operation of in situ optical diagnostics, including temporally- and spatially-resolved optical emission spectroscopy and mid-infrared laser absorption spectroscopy measurements * Processing and interpreting large datasets, including imaging data * Correlating optical spectroscopy data with time-resolved frequency comb and RF waveform measurements * Working in a multi-disciplinary team comprised of experts in plasma etch processes, optical metrology development, and RF waveform metrology development * Regularly reporting research findings to project team and advisor(s) * Publishing in peer-reviewed scientific journals and presenting at conferences Requested Minimum Qualifications PhD or equivalent experience in natural sciences, engineering or a related field Other Preferences for Consideration

Job Title Research Scientist in Fish Ecotoxicology Division Divison of Academic Affairs Department School of Computer, Mathematical & Natural Sciences Work Status Full Time Position Category Staff FLSA Exempt Pay Range Exempt Salary Range $60,000 - $75,000 / year Fund Source State Support Job Summary The School of Computer, Mathematical, and Natural Sciences (SCMNS), in partnership with the Morgan State's Patuxent Environmental and Aquatic Research Laboratory (PEARL), invites individuals to apply for the Research Scientist position in Fish Ecotoxicology. The Research Scientist will support the newly established Center for Urban and Coastal Climate Science Research. A highly motivated Research Scientist will establish and operate a productive fish ecotoxicology laboratory at Morgan State University. The successful candidate will conduct innovative research using fish models such as Japanese medaka and zebrafish to investigate developmental, immunotoxicology, and histopathological effects of environmental toxicants, as well as assess the associated human health risks. Job Duties * Conduct ecotoxicological research using fish models. * Mentor and supervise graduate and undergraduate students. * Publish research findings in highly regarded, peer-reviewed journals. * Establish and operate a productive fish ecotoxicology laboratory. * Conduct innovative research. * Perform other duties as requested. Requested Minimum Qualifications Education: The successful candidate must have a Doctorate in Ecotoxicology or a closely related field from an accredited institution. Experience: Demonstrated experience in Molecular Environmental Toxicology is required. Other Preferences for Consideration * A statement of research accomplishments and future research plans. Knowledge, Skills & Abilities * Doctorate in Ecotoxicology * Demonstrated experience in molecular environmental toxicology

Minimum Qualifications Education: Applicants are required to have received a Ph.D. in Engineering, Computer Science, or a related field by the expected start date on or before July 1, 2023 and should be within 5 years of their Ph.D. graduation date. Other: Applicants should have demonstrated a capacity for independent work.

The Center for Advanced Imaging Research at the Department of Diagnostic Radiology and Nuclear Medicine at the University of Maryland School of Medicine is recruiting for a full-time research scientist with expertise in focused ultrasound technology, especially for drug delivery research. The successful candidate will be expected to contribute to ongoing research projects, as well as develop their own research program over time, and additionally will provide supervision to staff and fellows within the laboratory. Ongoing research in the Department include both preclinical and clinical research using focused ultrasound (FUS). These projects include NIH-funded studies using FUS to enhance the delivery of medications (e.g., nanoparticles encapsulated with antiretroviral medications and CRISPR agents to treat HIV) and MR-guided FUS to modulate brain function to treat animal models of addiction. This position requires a PhD degree from a recognized accredited domestic university (or foreign equivalent), a strong commitment to research, teaching, and the ability to work well in a team setting. Faculty rank is commensurate with candidate's qualifications and experience. For immediate consideration, please send a cover letter and a recent CV, including names and contact information of three references to the following link\: https\://umb.taleo.net/careersection/jobdetail.ftl?job=2300014A&lang=en For additional questions after application, please email ******************************** UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and scientific community and strive toward cultivating an inclusive environment that supports all employees.

Minimum Qualifications Education and Experience A PhD in geography, urban planning, transportation engineering, computer science, information sciences, economics, or related fields; Previous experience modeling using generalized linear regression, multilevel regression, or spatial regression; Knowledge, Skills, and Abilities Demonstration of strong analytical and quantitative skills; Basic knowledge of machine learning techniques; Proficient with Python and/or R programming languages Excellent English oral, written, and interpersonal communication skills.

Minimum Qualifications Education and Experience: A Ph.D. or equivalent experience in engineering, the physical sciences, or applied math. Significant experience with mathematical modeling of a physical or chemical system with coupled processes. Applicants should have significant experience formulating and solving systems of coupled partial differential, ordinary differential, and algebraic equations. Experience modeling battery performance, degradation, and/or other behaviors. Knowledge, Skills and Abilities: A strong publication record demonstrating originality, technical depth, and the ability to conduct research both independently and as part of a team. Effective written and oral communication skills, including preparation of presentations and reports.

Minimum Qualifications Ph.D. in biophysics, biochemistry, structural biology or related fields and experience working with biochemical, bioanalytical, biophysical and/or structural biology techniques.

Physical Demands Ability to lift and carry more than 25 pounds Able to perform periodic work in inclement weather or dusty conditions Minimum Qualifications Education: Ph.D. in Plant breeding, genetics, genomics, molecular plant biology, or related discipline. Experience: Experience in data analysis platforms (R, python, etc), computational infrastructure (cloud computing, Linux environments). Knowledge, Skills, and Abilities: Expertise with statistical models and applications to genetics and plant breeding.

Physical Demands Predominantly sedentary work in a laboratory setting. Exerting up to 20 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motions. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing, manipulating, and analyzing samples in a laboratory setting; analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Moving about to accomplish tasks or moving from one worksite to another. Ability to use analytical instrumentation and computers in a laboratory environment. Minimum Qualifications Education: Ph.D. degree in Biology, Food Science, Chemistry, Toxicology or a related field. Experience: Hands-on experience with methods of analysis for marine and freshwater natural toxins including LC-MS/MS. Previous experience or knowledge of the principles of method development and validation, working knowledge of the sources, chemistry, and/or toxicology of marine and freshwater natural toxins, including those produced by harmful cyanobacteria (i.e., microcystins, anatoxins, cylindrospermopsin, and saxitoxin), and strong written and oral communication skills. This position requires the ability to pass background and security checks to access U.S. FDA worksites. Applicants must also have maintained residency in the United States for three full years (36 months) during the last five years.

Minimum Qualifications Applicants should have completed their Ph.D. or must anticipate receiving a Ph.D. no later than May 31, 2022.

Minimum Qualifications Education: PhD in Plant Pathology, Genetics, Computational Biology, Compute Science, or a related field at the commencement of the position. Experience: Demonstrated expertise in one of the two specified research areas. Knowledge of programming languages such as R, Python, or similar. Publication record in relevant scientific journals. Proficiency in statistical analysis and bioinformatics tools. Excellent communication and teamwork skills.

Minimum Qualifications Ph.D. in Chemical Engineering, Materials Science, Chemistry, or a related field. Background in experimental membrane research. Experience in polymer membrane fabrication and membrane gas permeation measurements. Effective written and oral communication skills.

Physical Demands Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Ability to attend meetings both on and off campus. Spending long hours in front of a computer screen. Minimum Qualifications Minimum Qualifications and Expectations - Assistant level Research Scientist: Ph.D. in a relevant field Evidence of sound scholarly Production Perform R&D at a level comparable to Assistant Professor Expected to begin to apply as a PI for single-investigator proposals and to be co-PIs on larger proposals Demonstrate all the relevant skills required for carrying out research in a laboratory setting and have been externally recognized by through awards, invited conference talks, etc. Citizenship within ARLIS and UMD may include serving on ARLIS and university committees, presenting at internal forums, and mentoring/advising Professional service may include reviewing of journal publications, white papers, statements of work, and proposals; and helping to organize conferences, workshops, and visits by external stakeholders Must be eligible for a U.S. security clearance Minimum Qualifications and Expectations - Associate level Research Scientist: PhD in a relevant field plus 5 years research experience at the Assistant Research Scientist level Significant scientific research accomplishments, show promise of continued productivity, and have the ability to propose, develop, and manage research projects Perform research at a level comparable to Associate Professor. Expected to identify funding opportunities and serve as PIs or co-PIs on large proposals. Develop a reputation for preeminence in their particular specialization and to receive commensurate independent or external recognitions (awards, invited to provide keynote addresses, etc.). Ability to grow the departmental/unit service and drive PTK mentoring and participate in Professional Track promotion sub-committees. Professional service contributions are significant and, when possible, include regular service on review panels for funding agencies Interact regularly with sponsor/customers Must be eligible for a U.S. security clearance Minimum Qualifications and Expectations - Full Research Scientist: PhD in a relevant field plus 10 years of experience leading and performing research Pursue funding opportunities and serve as Principal Investigator or have primary responsibility for a significant part of a multi-investigator project Lead engagements with sponsor/customers Serve in a leadership role at ARLIS and drive key initiatives and business development opportunities to grow the program Expand relationships with relevant departments and centers on campus Hold leadership positions within ARLIS , on campus (e.g., committee membership for the Faculty Senate), or on professional committees National or international recognition as a subject matter expert Have earned and received national, international, and prestigious recognitions for research accomplishments Mentor students and less experienced researchers Must be eligible for a U.S. security clearance

Job Description SummaryOrganization Summary Statement: The Applied Research Laboratory for Intelligence and Security (ARLIS), based at the University of Maryland College Park, was established in 2018 under the auspices of the Office of the Under Secretary of Defense for Intelligence (USDI) to be a strategic asset for research and development in social systems, autonomy and augmentation, and advanced computing. One of only 15 designated Department of Defense University Affiliated Research Centers (UARCs) in the nation and the only UARC focused on supporting the intelligence community, ARLIS conducts both unclassified and classified research spanning from basic to applied system development and works to serve the US Government as an independent and objective trusted agent. ARLIS research is driven by a cadre of research scientists and engineers, faculty research specialists and project engineers, further supported by senior University of Maryland faculty and a consortium of university partners. Research is typically conducted through teams of e.g. social scientists, computer scientists, psychologists, linguists, cognitive neuroscientists, applied mathematicians, political scientists, policy analysts, and systems engineers. Our Research Scientists are primarily involved in research with a focus on creating knowledge and carry the title of Assistant, Associate, or Full Research Scientist. The research part of promotion package resembles that of tenure-track faculty in publications, securing funding, etc., albeit at a somewhat reduced scale. Career experience in industry and/or government/military may be an important component in the appointment package. ARLIS seeks research scientists (in the Assistant, Associate, and full ranks) to commit effort on its projects. Exceptional candidates in all areas related to the ARLIS's current research trajectories will be given serious consideration, particularly those with experience in multiple areas. These include the following: Psychological and brain sciences, including neuroscience, human cognition, individual differences, and social psychology Social influence and disinformation, detection and mitigation of insider threat, industrial/organizational psychology, and teamwork and group dynamics Computational social science (including agent-based modeling and simulation, social media analysis, behavioral economics, game theory, predictive modeling) Human-machine interface (to include augmented and virtual reality (AR/VR), human-systems integration, and augmenting human performance Artificial intelligence, including computer vision, natural language processing, human language technologies, multimodal sense-making, and other AI/ML based systems Data science, data creation/curation, data fusion, visualization, analytics, and decision support Industrial security, including supply chain illumination and risk assessment Software engineering, static/dynamic software analysis, formal methods, applied mathematics, trusted AI, metric development, testbed design, and systems verification and validation This position represents a pipeline to support emerging and future work at ARLIS. Applications will be reviewed on a rolling basis. If you are looking for more immediate employment, please review our other job postings at ARLIS that align to your skills and capabilities and support current needs that we are seeking to fill immediately. Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history. Minimum Qualifications: Assistant level Research Scientist: Ph.D. in a relevant field Evidence of sound scholarly Production Perform R&D at a level comparable to Assistant Professor Expected to begin to apply as a PI for single-investigator proposals and to be co-PIs on larger proposals Demonstrate all the relevant skills required for carrying out research in a laboratory setting and have been externally recognized through awards, invited conference talks, etc. Citizenship within ARLIS and UMD may include serving on ARLIS and university committees, presenting at internal forums, and mentoring/advising Professional service may include reviewing journal publications, white papers, statements of work, and proposals; and helping to organize conferences, workshops, and visits by external stakeholders Must be eligible for a U.S. security clearance Associate level Research Scientist: PhD in a relevant field plus 5 years of research experience at the Assistant Research Scientist level Significant scientific research accomplishments, show promise of continued productivity, and have the ability to propose, develop, and manage research projects Perform research at a level comparable to Associate Professor. Expected to identify funding opportunities and serve as PIs or co-PIs on large proposals. Develop a reputation for preeminence in their particular specialization and to receive commensurate independent or external recognitions (awards, invited to provide keynote addresses, etc.). Ability to grow the departmental/unit service and drive PTK mentoring and participate in Professional Track promotion sub-committees. Professional service contributions are significant and, when possible, include regular service on review panels for funding agencies Interact regularly with sponsor/customers Must be eligible for a U.S. security clearance Full Research Scientist: PhD in a relevant field plus 10 years of experience leading and performing research Pursue funding opportunities and serve as Principal Investigator or have primary responsibility for a significant part of a multi-investigator project Lead engagements with sponsor/customers Serve in a leadership role at ARLIS and drive key initiatives and business development opportunities to grow the program Expand relationships with relevant departments and centers on campus Hold leadership positions within ARLIS, on campus (e.g., committee membership for the Faculty Senate), or on professional committees National or international recognition as a subject matter expert Have earned and received national, international, and prestigious recognitions for research accomplishments Mentor students and less experienced researchers Must be eligible for a U.S. security clearance Physical Demands: Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Ability to attend meetings both on and off campus. Spending long hours in front of a computer screen. Preferences: Experience as Principal Investigator (PI) or Co-PI on awards (or submitted awards) Management and leadership experience in technical or other relevant areas Program and project management expertise (possible PMP) Experience in customer relationship management Willingness to travel Active TS with SCI eligibility Licenses/ Certifications: NAMinimum Qualifications This rank is generally parallel to Professor. In addition to having the qualifications required of the Associate Research Scientist, appointees shall have established a national and, where appropriate, international reputation for outstanding scientific research. Appointees should provide tangible evidence of sound scholarly production in research, publications, professional achievements, or other distinguished and creative activity. Appointments are typically made as five-year contracts. Appointments for additional five-year terms can be renewed as early as the third year of any given five-year contract. Additional Job Details Required Application Materials: Cover Letter, Curriculum Vitae, List of References Best Consideration Date: N/A Posting Close Date: N/A Open Until Filled: No DepartmentVPR-Applied Research Lab for Intelligence & SecurityWorker Sub-Type Faculty RegularSalary Range$58,656 - $252,289Background Checks Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed. Employment Eligibility The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment. EEO Statement The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy. Title IX Non-Discrimination NoticeResources Learn how military skills translate to civilian opportunities with O*Net Online Search Firm Managed Recruitment There are some positions that are not advertised on this career site as the search is being managed by a Search Firm. Please visit the link below to see these available opportunities: Search Firm Managed Vacancies

Minimum Qualifications Education: Candidates must possess a doctoral degree in Geographical Sciences or a related field within environmental science, such as Biology or Forestry. Those with doctoral degrees in other disciplines (e.g., Physics, Computer Science, Electrical Engineering) who demonstrate substantial knowledge and understanding of land surface remote sensing are also eligible. Knowledge, Skills, and Abilities: Essential skills include competency in programming and statistical analysis, with experience in languages and tools such as Python, IDL , MATLAB , C/C++, R, PyTorch, TensorFlow. For the Assistant Research Professor level, a proven track record of independent research and peer-reviewed publications is required.

Job Description SummaryOrganization's Summary Statement: The Applied Research Laboratory for Intelligence and Security (ARLIS), based at the University of Maryland College Park, was established in 2018 under the auspices of the Office of the Under Secretary of Defense for Intelligence (USDI) to be a strategic asset for research and development in social systems, autonomy and augmentation, and advanced computing. One of only 15 designated Department of Defense University Affiliated Research Centers (UARCs) in the nation and the only UARC focused on supporting the intelligence community, ARLIS conducts both unclassified and classified research spanning from basic to applied system development and works to serve the US Government as an independent and objective trusted agent. ARLIS research is driven by a cadre of research scientists and engineers, faculty research specialists and project engineers, further supported by senior University of Maryland faculty and a consortium of university partners. Research is typically conducted through teams of e.g. social scientists, computer scientists, psychologists, linguists, cognitive neuroscientists, applied mathematicians, political scientists, policy analysts, and systems engineers. The Assistant/Associate Research Scientist will support ARLIS's applied research efforts in computer vision and cognitive/affective science. This role is focused on designing, developing, and evaluating advanced computer vision algorithms and prototypes that address real-world defense and national security challenges. The ideal candidate will possess strong experience in computational modeling and AI/ML systems, contributing to both early-stage research and deployable solutions. Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history. Key Responsibilities - Design and implement computer vision models for real-time and offline applications - Evaluate and optimize algorithm performance across diverse datasets and domains -Apply principles of both computer vision and psychology to create empirically rigorous, applied solutions for DOW stakeholders - Collaborate with teams on AI/ML integration and system architecture - Support technical documentation, reports, and presentation of research outcomes - Assist in proposal development and research planning efforts - Contribute to publications, prototypes, and demonstrations for internal and external stakeholders Security Clearance Requirements - U.S. citizenship required - Must be eligible to obtain a U.S. government security clearance - Employment contingent on successful completion of background investigation Physical Demands: Primarily office and lab-based work Extensive use of computers for modeling and algorithm development Occasional travel for collaboration, testing, or conferences Minimum Qualifications - Ph.D. in Psychology/Cognitive Sciences, Computer Science, Neuroscience, Kinesiology, or a related field. - Demonstrated experience in computer vision algorithm design, development, and evaluation pertaining to topic areas including (but not limited to) human/biological motion, behavior, and/or emotion. Knowledge, Skills, and Abilities - Proficiency in computer vision libraries and frameworks (e.g., OpenCV, PyTorch, TensorFlow) - Strong programming skills in Python, C++, or related languages - Experience with AI/ML pipeline development and evaluation - Ability to apply concepts of computer vision and/or machine learning to human behavior - Ability to conduct rigorous research and present findings clearly - Effective collaboration and communication skills in a multidisciplinary environment Preferences: - Experience working with cross-functional R&D teams - Familiarity with defense or intelligence applications of computer vision and AI - Familiarity with computational neuroscience or biologically inspired computing -Experience with being a principal investigator (PI) or significant team lead of a research project. -Development on classified networks -Active TS/SCI clearance -Human subjects research experience Licenses/ Certifications: - No specific licenses or certifications required - Certifications in AI, deep learning, or cloud platforms are advantageous but not required Minimum Qualifications This rank is generally parallel to Professor. In addition to having the qualifications required of the Associate Research Scientist, appointees shall have established a national and, where appropriate, international reputation for outstanding scientific research. Appointees should provide tangible evidence of sound scholarly production in research, publications, professional achievements, or other distinguished and creative activity. Additional Job Details Required Application Materials: Cover Letter, Curriculum Vitae, List of References Best Consideration Date: N/A Posting Close Date: N/A Open Until Filled: N/A DepartmentVPR-Applied Research Lab for Intelligence & SecurityWorker Sub-Type Faculty RegularSalary Range$58,656 - $252,289Background Checks Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed. Employment Eligibility The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment. EEO Statement The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy. Title IX Non-Discrimination NoticeResources Learn how military skills translate to civilian opportunities with O*Net Online Search Firm Managed Recruitment There are some positions that are not advertised on this career site as the search is being managed by a Search Firm. Please visit the link below to see these available opportunities: Search Firm Managed Vacancies