PHD Researcher jobs at University of Maryland, Baltimore - 70 jobs

The University of Maryland offers highly competitive salaries with excellent benefits. To apply for this position, please send your curriculum vitae, a cover letter describing your interest, background, and qualifications, and a list of three references (including contact information) to Dr. David Dreizin at ************************** The position is subject to a background check. Applications from women, minorities, and persons with disabilities are strongly encouraged. Applications will be accepted until the position is filled. The University of Maryland at Baltimore is dedicated to building a diverse community in its training and employment programs Baltimore Inner Harbor, Maryland The University of Maryland is an equal opportunity, affirmative action employer . All qualified applicants will receive consideration for employment regardless of sex, gender identity, 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 towards cultivating an inclusive environment that supports all employees. Research Scholar Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University of Maryland School of Medicine is a new collaborative and supportive environment for investigators who are conducting cutting-edge imaging research and development (R&D) of CADt, CADe, and CADx-type tools with strong translational potential for rapid detection/triage, injury grading, and quantitative visualization of hemorrhage burden. We are currently recruiting motivated Research Scholars with a master's degree (or equivalent) and a background in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields. Candidates who have experience with MICCAI or RSNA CT challenge datasets such as RibFrac, the RSNA pulmonary embolus CT dataset, or the RSNA abdominal trauma CT dataset, or are otherwise technically proficient with imbalanced cross-sectional imaging data are especially well-suited for the position . The postdoctoral researchers will develop algorithms for deployment at our prestigious R Adams Cowley Shock Trauma Center and beyond, and there is ample opportunity to present, publish, and kickstart a fruitful career in academia or industry in the area of medical image processing. The work will be conducted through an NIH-funded study on these topics: 1) R&D for CT-based tools using CNN or ViT backbones for classification or object detection of hemorrhage-related pathologies including cavitary hemorrhage, solid organ injury, and bleeding pelvic fractures using a very large in-house CT dataset with high-quality labeling and outcome data. 2) Training and validation of state-of-the-art segmentation models for multiscale tasks, with targets including organ lacerations, cavitary pooled hemorrhage, and active bleeding. 3) One additional position focuses on evaluating user acceptance of tools by working with radiology and trauma surgery experts in the field. For this position, we are looking specifically for candidates with experience developing web-based interactive user interfaces for the above tools.

Job Title Deepfake Detection Postdoc Researcher Division Research & Economic Development Department NIST PREP Job Effective Date 03/04/2026 Job End Date 03/02/2027 Work Status Full Time Position Category Contractual FLSA Exempt Annual Salary $120,018.24 - $130,819.88 / per year Pays United States Percentage Amount Fund Source Federal/Grant Requisition Reason New Job Duties * Generating deepfake artifacts. * Proposing a scientific framework for evaluation of different detection and prevention tools * Recommending performance metrics for detection systems. * Presenting results at internal meetings, and occasional meetings with external stakeholders. * Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization. * Assisting in the development of research papers or guidelines. Requested Minimum Qualifications Education: The successful candidate must have a Ph.D. in Engineering or a related field from an accredited college or university. Experience: At least five years of experience is required. Other Preferences for Consideration

Job Title Postdoctoral Research Associate (Quantum Sensing) Division Divison of Academic Affairs Department Department of Physics Job Effective Date 10/15/2025 Job End Date 06/30/2025 Work Status Full Time Position Category Contractual FLSA Exempt Annual Salary $60,000 - $70,000 per year Pays $60,000 - $70,000 per year Percentage Amount 100 Fund Source Federal/Grant Requisition Reason New Job Duties The Department of Physics at Morgan State University has an experimental Postdoctoral Research Associate/Research Engineer job opening to work on quantum sensing projects. Essential Duties and Responsibilities: * Prepare samples, data collection and analysis. * Prepare manuscripts and present results at meetings. * Gather data and write reports. * Mentor undergraduate and graduate students. Requested Minimum Qualifications Education: A bachelor's degree in Physics or Electrical Engineering from an accredited college or university is required. Experience: A minimum of 3 years of experimental research experience is required. Required Knowledge, Skills, and Abilities * Demonstrated skills in data collection and analysis with a keen attention to detail. * Excellent analytical skills with the ability to solve complex problems independently. * Strong communication skills for effective collaboration within a diverse team environment. Join us as we explore new frontiers in science through innovative research initiatives. * Hands-on experience in one or more of the following with demonstrated results are required: * Optics and optical setup development. * Python coding, especially for device control and data collection. * Candidates must be experienced in academic writing with a publication record. * Clear and concise oral and written communication skills are required. * Electronic circuit design and troubleshooting, firmware, FPGA, and high-speed electronics. * RF electronics. Other Preferences for Consideration Preferences: * A PhD in Physics, Electrical Engineering or a relevant field from an accredited college or university is desired. * Engineers with a MS or undergraduate degree with demonstrated experience will be also considered.

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 Title Postdoctoral Research Fellow (CONTRACTUAL) Division Divison of Academic Affairs Department Transportation & Urban Infrastructure Studies Work Status Full Time Position Category Contractual FLSA Exempt Pay Range Contractual Salary Range $19.00 - $23.00 / hour Fund Source Federal/Grant Job Summary The postdoctoral candidate is expected to work on emerging mobility technologies focused on connected automated vehicles and cybersecurity. The research will combine AI/machine learning, cybersecurity and control theory to advance knowledge on automated vehicle control and their resilience to cyberattacks. The postdoctoral researcher will play a leading role in developing research concepts and performing rigorous analytical research under the supervision of PI. The candidate will participate in other ongoing research activities within the areas of connected and automated vehicles and intelligent transportation systems and develop new research ideas on emerging mobility. Job Duties * Manage multiple projects on emerging mobility under the supervision/guidance of the PI * Publish/write research articles and write proposals for external funding * Advance research at the intersection of AI, cybersecurity and control theory * Help mentor graduate and undergraduate students * Participate in other ongoing research activities within the areas of connected and automated vehicles and intelligent transportation systems Requested Minimum Qualifications The successful candidate must have a Ph.D. in Electrical Engineering, Computer Science or Transportation Systems Engineering or a related field from an accredited university. Other Preferences for Consideration Knowledge, Skills & Abilities * Knowledge of programming languages such as Python, Matlab, and/or C#, C++ * Knowledge of connected and automated vehicles control * Knowledge of Intelligent Transportation systems

in Vascular/Extracellular Matrix Biology University of Maryland School of Medicine Division of Cardiac Surgery Thoracic Aortic Disease Research Lab The Thoracic Aortic Disease Research Lab at the University of Maryland School of Medicine is seeking a Post-Doctoral Research Fellow to join our interdisciplinary team of basic scientists and clinicians with expertise in vascular biology, physiology, bioengineering, and thoracic aortic diseases to conduct NIH-supported research of human thoracic aortic disease. Our laboratory within the Division of Cardiac Surgery and in collaboration with the Center for Vascular and Inflammatory Diseases maintains a large human aortic tissue and vascular primary cell bank to aid our investigations of the cellular and molecular mechanisms that mediate thoracic aortic aneurysm. The prospective candidate should have a PhD in vascular biology, or similar field of study and a self-motivated interest in pursuing an independent research trajectory in cardiovascular biology. Prior post-doctoral research experience and a track record of independent funding acquisition is highly advantageous but not required. The candidate should also exhibit excellent English written and oral communication skills and will be expected to publish in peer-refereed journals, present results at national/international scientific conferences, apply for external funding opportunities, and participate in the preparation of grant applications by the team. As a part of the postdoctoral experience, the applicant can expect to receive career mentoring from faculty of various backgrounds (clinical and fundamental science) in developing a research program, writing research proposals, and to participate in career development activities. Applicants should E-mail their CV, cover letter and provide three references attesting to the candidate's qualifications to the attention of: Dr. Thomas Gleason Professor of Surgery ************************** This position is available immediately. 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. The successful candidate will have experience/interest in vascular and microvascular biology, ECM biology, ECM biomaterials, 2-D and 3-D human cell culture, collagen and elastin biology, vascular tissue engineering, RNA and protein isolation from tissue and cultured cells, real-time PCR, Western blotting, molecular biology, histology, immunocytochemistry, and fluorescence microscopy (confocal/multiphoton). The candidate should be evidently self-driven, demonstrate independent research productivity, possess excellent interpersonal skills and high caliber professional conduct, and be able to interface with clinicians, research associates, students, and faculty.

Minimum Qualifications Education: Bachelor's degree. Experience: Two years of related work experience in Higher Education or nonprofit industry. Knowledge, Skills, and Abilities: Demonstrated ability to synthesize large amounts of information to useful and accessible information for fundraisers. Ability to work in a deadline-driven environment. Excellent administrative, organizational, and time management skills; very high attention to detail. Strong research and analytical skills. Knowledge of Prospect Researching tools (including most of the following on-line sources: real estate assessment services, Foundation Directory, Lexis-Nexis, Dun & Bradstreet, Hoovers, etc.). Proficiency at formulating an online search strategy. Proficiency in developing reports that support planning and decision making. Ability to work independently, use initiative and be persistent, as well as work collaboratively, team-oriented approach. Ability to use good judgment and discretion in dealing with confidential information and adhering to professional ethics. Strong communications skills (written and oral). Advanced computer skills. Proficiency in Microsoft Office Programs including Word and Excel.

Job Description SummaryOrganization's Summary Statement: The candidate will join a dynamic, growing team at the University of Maryland's Center for Risk and Reliability (CRR). The University of Maryland is an international leader among academic institutions in reliability education and research, consistently ranked among the top 5 programs worldwide. CRR research covers a wide range of subjects involving systems and processes. It includes topics on predictive reliability and human reliability analysis methods, advanced probabilistic inference methods, system-level health monitoring and prognostics, and risk analysis theory. CRR applications focus on complex systems such as energy, nuclear power plants, hydrogen fuels, pipelines, infrastructure, manufacturing, space, aviation, petrochemical installations, and transportation. The A. James Clark School of Engineering at the University of Maryland catalyzes high-quality research, innovation, and learning, preparing our students to create innovations that will address the 21st century Grand Challenges (e.g., energy, environment, security, and human health) and improve the human condition. The Clark School is dedicated to leading and transforming the engineering discipline and profession, accelerating entrepreneurship, and transforming research and learning activities into innovations that benefit millions. Minimum Qualifications: Education Ph.D. in reliability engineering, systems engineering, mechanical engineering, industrial engineering, civil engineering, chemical engineering, or closely related field. Physical Demands: Normal office environment- sedentary work Substantial movements (motions) of the wrists, hands, and/or fingers Ability to travel around campus for meetings and to attend to duties Preferences: N/A Licenses/ Certifications: N/AAdditional Job Details Required Application Materials: Cover Letter, CV, List of three references Best Consideration Date: 07/31/2025 Posting Close Date: N/A Open Until Filled: Yes Financial Disclosure Required For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website. DepartmentENGR-Mechanical EngineeringWorker Sub-Type Faculty RegularSalary Range$60,000 - $90,000Benefits Summary For more information on Regular Faculty benefits, select this link. Background 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 ● A PhD or equivalent University level experience in geography, urban planning, transportation engineering, computer science, information sciences, economics, or related fields. ● Strong analytical and quantitative skills supported by strong programming experience. ● Previous experience with generalized linear regression modeling and spatial regression modeling. ● Ability to understand and work with existing code and open-source software e.g., making necessary improvements and modifications as needed. ● Proficiency in written and spoken English and strong communication skills, both personal and academic.

Job Description SummaryOrganization Summary Statement: The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University-Affiliated Research Center (UARC) dedicated to advancing research, innovation, and technology transition to improve decision making for U.S. national security. ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human-machine teaming. Researchers, scientists, engineers, and analysts at ARLIS collaborate with government agencies, industry partners, and academic institutions to deliver actionable insights and transformative solutions through research and development. Employees at ARLIS work on projects of critical importance, contribute directly to the nation's security, and are supported by a culture that values integrity, collaboration, and professional growth. 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. 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

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

Physical Demands Work is performed in an office environment and requires the ability to operate standard office equipment and keyboards. Must have the ability to walk short distances, and/or drive a vehicle to deliver and pick up materials. Minimum Qualifications A doctorate or its equivalent at the time of application. For exceptional candidates, equivalent experience will also be considered. Demonstrated continuous and effective engagement in independent and creative research activity of high quality and significance Experience in grant writing and working on technical teams Strong communications, presentation and writing skills Must be eligible for a U.S. security clearance.

Minimum Qualifications Applicants should have a Ph.D. or equivalent in agricultural engineering, soil science, terrestrial ecology, or climate sciences. Candidates must have demonstrated experience in using and improving process-based crop models such as Environmental Policy Integrated Climate ( EPIC ), Decision Support System for Agrotechnology Transfer ( DSSAT ), APSIM or equivalent, and have hands-on experience in multivariate statistics.

Minimum Qualifications An earned doctoral degree in Geographical Sciences or allied fields in environmental science, such as Biology and Forestry is required. Candidates with doctoral degrees in other fields (for example, Physics, Computer Science, and Electrical Engineering) with a demonstrated knowledge and understanding of remote sensing of the land surface will also be considered. Competent programming and statistical skills (e.g. such as Python, IDL , MatLab, C/C++, R, TensorFlow) are required. Candidates at the level of Assistant Research Professor must have a demonstrated ability to independently conduct research as evidenced by peer-reviewed publications.

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.

Applicants must have a Ph.D., M.D. or M.D./Ph.D. degree granted within the past three years, with advanced training in biochemistry, molecular and cellular biology, and animal genetics and/or pathology. Experience with animal models and skills in molecular biology is required. He/she is expected to be highly motivated, has scientific independence, excellent English speaking and writing skills, and international peer-reviewed publications. His/her duties include performing proposed research related to cardiac development, disease and regeneration, and being responsible for designing, executing experiments, acquiring, analyzing, presenting data, writing abstracts and manuscripts. Postdoctoral Fellow for Cardiovascular Development and Regeneration A Fulltime Postdoctoral Fellow position is immediately available in Dr. Deqiang Li's Laboratory, in the Center for Vascular and Inflammatory Diseases at the University of Maryland School of Medicine. This position is supported by a newly awarded NIH R01 grant and an American Heart Association foundational award. Research in my laboratory is focused on understanding the mechanisms of cardiovascular development and disease. In particular, we are interested in identifying the novel signaling pathways that regulate myocardial development or govern cardiomyocyte differentiation and maturation by using in vitro and in vivo approaches. Cell and mouse model systems, including induced pluripotent stem cells (iPSCs) and conditional gene knockouts will be used in these research projects. Many state-of-the-art techniques are employed, such as CRISPR/Cas9 Genome Editing, AAV, single cell RNA-Seq and ChIP Seq, confocal microscopy, multicolor flow and sorting, surgical models, ultrasonic and telemetric measurements of cardiovascular function in mice. The University of Maryland School of Medicine was ranked 12th in U.S. News and World Report's 2021 rankings of "Best Medical Schools\: Primary Care", and 34th in "Best Medical Schools\: Research". It is located in the downtown of Baltimore city, part of greater Baltimore-Washington DC area, within 40 miles to the NIH. The University of Maryland School of Medicine has a group of outstanding scientists in cardiovascular research, especially in cardiovascular cell signaling, development and regeneration. Successful applicants will have the opportunity to work with them and get help in developing an independent career in this research field. Interested candidates should send your CV and contact information for three references to Dr. Deqiang Li. @ **********************. In additional, interested candidates should apply by clicking link below: https\://umb.taleo.net/careersection/umb_faculty+and+post+docs/jobsearch.ftl?lang=en&portal=8100108441 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.

Job Description SummaryThe Joint Center for Quantum Information and Computer Science (QuICS, ********************* is seeking exceptional candidates for the QuICS Hartree Postdoctoral Fellowships in Quantum Information and Computer Science. QuICS is a research partnership between the University of Maryland (UMD) and the National Institute of Standards and Technology (NIST). Located at the University of Maryland just outside of Washington, D.C., the center advances research and education in quantum computer science and quantum information theory. Ongoing projects at QuICS include theoretical and experimental research on quantum algorithms, quantum complexity theory, quantum communication, quantum error correction and fault tolerance, quantum-enhanced metrology, quantum cryptography and quantum-secure cryptography, implementations of quantum information processing, foundations of quantum mechanics, applications of quantum information to physics, and more. QuICS Postdoctoral Fellows are expected to work in close collaboration with one or ideally more than one QuICS Fellow (including Affiliate and Adjunct QuICS Fellows), and will have opportunities to interact with leading computer scientists and theoretical and experimental physicists at UMD and NIST. Applicants will be considered for the QuICS Hartree Postdoctoral Fellowship, and may also be considered for other postdoctoral positions at QuICS. Minimun Qualifications: Education : PhD. Degree in Physics, Mathematics, Computer Science or a closely-related field Physical Demands: N/A Preferences: • Successful applicants may focus on any area of quantum information processing. • Applicants are encouraged to contact QuICS Fellows directly to inquire about current research interests Additional Job Details Required Application Materials: • Curriculum Vitae, including a complete publication list • Two-page Research Statement • After you submit your application, you will receive a request over e-mail to provide the names of three or more references who will provide letters of recommendation for you. (The due date for letters of recommendation is December 8th.) Best Consideration Date: 12/01/2025 Posting Close Date: N/A Open Until Filled: Yes Financial Disclosure RequiredNo For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website. DepartmentCMNS-Institute for Advanced Computer StudiesWorker Sub-Type Faculty RegularSalary Range75,000Benefits Summary For more information on Regular Faculty benefits, select this link. Background 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: 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.

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