postdoctoral research associate

Texas A&M University

<div>Job Title
Postdoctoral Research Associate
Agency
Texas A&amp;M University
Department
Psychology
Proposed Minimum Salary
Commensurate
Job Location
College Station, Texas
Job Type
Staff
Job Description
Here&rsquo;s a Glimpse of the Job
The Postdoctoral Research Associate will conduct and publish original research on visual attention under the supervision of the PI. Key responsibilities include developing innovative experimental concepts, designing and programming studies, conducting MRI experiments, analyzing and interpreting data, and preparing manuscripts for submission to peer-reviewed journals. In addition, the Postdoctoral Research Associate will contribute to ongoing research projects and provide mentorship to junior lab members.
Opportunities to Contribute
<ul><li>Conducts original research and provides support for ongoing projects under the guidance of the PI.
</li><li>Generates novel experimental concepts, designs and programs experiments, and analyzes data to interpret results.
</li><li>Disseminates research findings under PI guidance through manuscript writing and editing for peer-reviewed journals and presentations at international conferences.
</li><li>Mentors a small team of undergraduate research assistants on assigned projects and provide ad hoc guidance to graduate students in collaboration with the laboratory manager.
</li></ul>Qualifications
<ul><li>Appropriate Ph.D.
</li></ul>A well-qualified candidate for this position will also possess:
<ul><li>Ph.D in Psychology, Neuroscience, or a related field.
</li><li>Strong publication record, including first-author papers utilizing fMRI.
</li><li>Proficiency with fMRI methods.
</li><li>Experience with eye tracking.
</li><li>Strong programming skills.
</li><li>Research interests that compliment those of the PI.
</li><li>Ability to multi-task and work cooperatively with others.
</li></ul>Salary: Compensation will be commensurate based on the selected candidate's education and experience.
Please note: This position is grant funded; future employment may be contingent upon future funding.
What you need to do
Apply! Submitting a cover letter, resume&rsquo;/CV to assist us with the review process. You may upload these documents on the application under CV/Resume.
Why Texas A&amp;M University?
Texas A&amp;M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents &amp; lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.
The Department of Psychological and Brain Sciences is engaged in research that falls into all five graduate areas of specialization:
<ul><li>Behavioral and Cellular Neuroscience
</li><li>Clinical Psychology
</li><li>Cognition and Cognitive Neuroscience Psychology
</li><li>Industrial/Organizational Psychology
</li><li>Social &amp; Personality Psychology
</li></ul>In addition to the Department of Psychological and Brain Science&rsquo;s 5 areas of specialization, we have overlapping research interests that bridge traditional areas of psychology. These primary research themes include Affective Science; Neuroscience; Personality and Individual Differences. To learn more please visit our site at https://artsci.tamu.edu/psychological-brain-sciences/index.html
We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.
<ul><li>Medical, prescription drug, dental, vision, life and AD&amp;D, flexible spending accounts , and long-term disability insurance with Texas A&amp;M contributing to employee health and basic life premiums
</li><li>12-15 days of annual paid holidays
</li><li>Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
</li><li>Automatic enrollment in the Teacher Retirement System of Texas
</li><li>Health and Wellness: Free exercise programs and release time
</li><li>Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
</li><li>Educational release time and tuition assistance for completing a degree while a Texas A&amp;M employee
</li><li>Living Well, a program at Texas A&amp;M that has been built by employees, for employees
</li></ul>Instructions to Applicants: Applications received by Texas A&amp;M University must either have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution&rsquo;s verification of credentials and/or other information required by the institution&rsquo;s procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.</div>

Postdoctoral Research Associate

Old Dominion University

<div>The candidate will participate in developing AI/ML workflow for CLAS12 track reconstruction and electron identification in real-time. Development of software to train neural networks and deploy them online. Development of software for validation and comparison of results with conventional tracking and reconstruction algorithms. 

 
 
 
Job Responsibilities: Testing the AI driven reconstruction and particle identification algorithms, validation and comparison with conventional reconstruction. 
 
Minimum Qualifications: 

Education and/or training:

Ph.D. in Physics

Level and type of experience

3 years of post-doctoral experience in Nuclear/Particle Physics

Specific knowledge, skills, and abilities: Working with nuclear physics data, programming

Preferred Qualifications: 

Knowledge of common programming environments and languages C++/Java/Python.
<div>
This position is being filled through the Research Foundation, which is a separate entity from Old Dominion University (ODU). While we work in support of ODU, the Research Foundation operates independently and is a not-for-profit, tax-exempt 501(c)(3) organization.</div>

 Please visit ODU Research Foundation website at http://researchfoundation.odu.edu; click on the employment tab and follow the link for position #25-076. Review of applications will begin immediately and will continue until the position is filled

The organization is an equal opportunity and affirmative action employer (AA/EOE/M/F/Disability/VETS/Drug-Free Workplace). We are committed to providing equal employment opportunity to all individuals in accordance with applicable federal, state, and local laws. Employment decisions &mdash; including recruitment, hiring, training, compensation, and promotion &mdash; are made without regard to race, color, religion, sex, national origin, physical or mental disability, genetic information, age, protected veteran status, or any other protected characteristic. Affirmative action efforts are conducted consistent with applicable laws to promote equal opportunity in employment and advancement.</div>

Postdoctoral Research Associate 25-076

Wayne State University

<div>Postdoctoral Research Associate, College of Education
Wayne State University is searching for an experienced Postdoctoral Research Associate, College of Education at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Position Purpose:

The Detroit Partnership for Education Equity &amp; Research (Detroit PEER) at Wayne State University is seeking a postdoctoral research associate to support mixed-methods research projects related to K-12 student attendance. We seek a candidate with a strong background in research methods. The candidates will work closely with Detroit PEER director Dr. Sarah Lenhoff (Wayne State University) and Detroit PEER affiliate researcher Dr. Jeremy Singer (University of Michigan &ndash; Flint) in part on a research study sponsored by the Skillman Foundation and the Joyce Foundation. The study explores the implementation and effectiveness of K-12 school practices related to student attendance in Michigan.
Essential Functions:
The position will involve working on research studies related to attendance practice effectiveness, district and school implementation of initiatives designed to improve attendance, and efforts to remove attendance barriers related to health, transportation, and housing. Specifically, the postdoctoral research associate will assist with literature reviews, data collection, data analysis; and dissemination of findings (preparation of reports, presentations to stakeholders, academic publications). The postdoctoral research associate will mentor graduate students and will be encouraged to co-author publications and develop independent lines of inquiry and publications from the work. In addition to supporting funded research projects, the postdoctoral research associate will contribute to Detroit PEER&rsquo;s mission by responding to occasional inquiries from partners, supporting the dissemination of policy-relevant research, and working with the center director on strategic operations. The postdoctoral research associate will also have time to develop and publish research from their existing research projects.
Minimum Qualifications:

An earned doctoral degree in education policy, education leadership, sociology, or a related social science field is required, as is a developing record of relevant publications. Successful candidates should have excellent data analysis skills in qualitative, quantitative, or both methodologies, including experience working with data analysis software, extensive experience and excellent knowledge of education policy, and an interest in student attendance or related areas such as school culture/climate, policy implementation, or social policy. The candidates should also have strong organizational skills, attention to detail, and excellent interpersonal, verbal, and written communication skills. Experience working on mixed-methods research teams is especially desired.
School/College/Division:

H02 - College of Education
Primary Department:
H0252 - Administration &amp; Organization Stud
Employment Type:
<ul><li>Regular Employee</li>
<li>Job type: Full Time</li>
<li>Job category: Research</li>
</ul>Funding/Salary Information:
<ul><li>Compensation type: Annual Salary 
</li>
<li>Annual Salary: $66,000</li>
</ul>Working Conditions:

Normal office environment.
Job Openings:
<ul><li>Number of openings: 1</li>
<li>Reposted position: No 
</li>
</ul>Background Check Requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.</div>

Postdoctoral Research Associate, College of Education

University of Virginia

<div>The School of Data Science at the University of Virginia and Professor Yong-Yeol (&ldquo;YY&rdquo;) Ahn, Quantitative Foundation Distinguished Professor, are excited to announce two professional research staff positions now open for qualified candidates.
____________________________________________________________________________________________
Research Scientist
This position offers the opportunity to work on a wide range of data science projects, including&mdash;but not limited to&mdash;network science, AI and machine learning, computational social science, and the science of science. This position is ineligible for sponsorship.
Responsibilities:
<ul><li>Conduct independent and collaborative research in data science.</li><li>
Lead and contribute to grant proposals and funded research projects.</li><li>
Develop, implement, and publish novel data-driven methods, models, analyses, and tools.</li><li>
Collaborate with faculty, students, and external partners on interdisciplinary research.</li><li>
Contribute to the intellectual community of the School of Data Science through seminars, workshops, and mentoring.</li></ul>
Minimum Qualifications:<ul><li>
Ph.D. in data science, computer science, informatics, statistics, network science, or a related field.</li><li>
Strong record of research productivity, demonstrated through publications or equivalent contributions.</li><li>
Expertise in one or more of the following: machine learning, network science, natural language processing, computational social science, causal inference, or science of science.</li><li>
Strong software engineering and data visualization skills, as well as research communication skills to both technical and non-technical audiences.</li><li>
Experience with large-scale data analysis and modern data science tools.</li><li>
Good communication skills and enthusiasm for collaborative, interdisciplinary work.</li></ul>
Salary:
A salary range of $80K - $120K is offered based on experience and education.
Postdoctoral Research Associate
This position will primarily work on projects in the science of science and visualization, with flexibility to explore related topics such as large language models (LLMs), interpretable embedding spaces, and network science. This position is eligible for sponsorship.
Minimum Qualifications:<ul><li>
Ph.D. in computer science, data science, or a related field.</li><li>
Effective written and verbal communication skills.</li><li>
Proficient computer programming skills.</li></ul>
Preferred Qualifications:<ul><li>
Ability to work independently and collaboratively.</li><li>
Excellent analytical and communication skills.</li><li>
Experience with large-scale data projects.</li><li>
Experience with LLMs.</li><li>
Experience with building visualization systems.</li></ul>
Salary:
Expected salary range between $60k-$70k
For Both Positions: General Considerations<ul><li>
Positions will remain open until they are filled.</li><li>
Positions are exempt level and benefit eligible.</li><li>
The university will perform background checks on all hires (if required) prior to employment.</li><li>
Applicants must currently be authorized to work in the United States. This role will not sponsor for Visas now or in the future.</li></ul>
Health and Other Benefits (visit Health and Other Benefits for additional information)<ul><li>
UVA Health Plan: the choice between 3 different health plans</li><li>
Vision Coverage</li><li>
Dental Plan</li><li>
Benefit Savings Plans</li><li>
Life Insurance</li><li>
Disability Benefits</li><li>
Paid Time Off: starting with 22 days of time off per year, 12 or more holidays, 8 weeks parental leave</li></ul>
Education Benefits (visit Education Benefits for additional information)
After six months of employment, full-time and part-time (20+ hours) employees in a benefits-eligible position are offered options of:<ul><li>
Use of up to $5250 per calendar year towards a for-credit degree program or for-credit certificate program</li><li>
Use of up to $2000 of the total $5250 noted above per calendar year for professional development including job-related training, conferences, and initial certificate exams.</li></ul>
Application Process
Please apply through the University of Virginia job board, Careers at UVA, and search for R0077754. Complete an application online and attach a cover letter detailing your interest and relevant experience as well as your current resume or CV.
Applications that do not contain all required documentation will not receive full consideration.
Internal applicants must apply through their UVA Workday home page. Search &ldquo;Find Jobs&rdquo;, enter R0077754, and attach both a cover letter and current resume or CV.
References will be completed via direct reach. Please plan to provide at least three references with contact information when applying.
For questions about the positions or the application process, please contact Daniel Strong, Senior Recruiter, at das6zb@virginia.edu.
For more information about UVA and the Charlottesville community, please see www.virginia.edu/life/charlottesville and https://embarkcva.com/.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities.
MINIMUM REQUIREMENTS
Education: Requires a doctoral degree or master's degree with significant experience.
Experience: None
Licensure: None
PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA&rsquo;s commitment to non-discrimination and equal opportunity employment.</div>

Research Scientist or Postdoctoral Research Associate - School of Data Science

Carnegie Mellon University

<div>Carnegie Mellon University is a private, global research university that stands among the world&rsquo;s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn&rsquo;t imagine the future, we invent it. If you&rsquo;re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront of the technologies that have changed the world we live in. Our interdisciplinary approach to education and research allows faculty and student across the university and beyond to collaborate on problems that have a significant impact on the world around us.
The Nakahira Research Group in Carnegie Mellon University&rsquo;s department of Electrical and Computer Engineering studies the foundations and applications of safe and intelligent autonomous systems operating under uncertainty, limited information, strategic human behavior, and complex multi-agent interactions. The postdoc will work at the intersection of control theory, reinforcement learning, probabilistic modeling, and language-guided autonomy.
Core Responsibilities:
<ul><li>Conduct independent and collaborative research aligned with the themes above
</li><li>Mentor PhD and MS students
</li><li>Lead and co-author publications
</li><li>Optionally participate in workshop organization or broader impacts activities
</li><li>Other duties as assigned.
</li></ul>Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Qualifications:
<ul><li>PhD in Electrical and Computer Engineering, Biomedical Engineering, Mechanical Engineering or a related field.
</li><li>A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
</li></ul>Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access , and much more!
For a comprehensive overview of the benefits available, explore our Benefits page .
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it&rsquo;s about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Job Function
Pre/Post-Doctoral Associates &amp; Fellows
Position Type
Postdoctoral Associate / Fellow (Fixed Term)
Full Time/Part time
Full time
Pay Basis
Salary
More Information:
<div><div><div><div><ul><li>Please visit &ldquo; Why Carnegie Mellon &rdquo; to learn more about becoming part of an institution inspiring innovations that change the world.</li><li> 
</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .
</li><li>Statement of Assurance</li></ul></div></div></div></div></div>

Postdoctoral Research Associate - College of Engineering - Electrical and Computer Engineering

Umass Lowell

<div></div><div>Job no: 529198 
Position type: Staff Full Time 
Benefit Status: Benefited-Union 
Campus: UMass Lowell 
Department: Miner Sch of Comp &amp; Info Sci 
Salary: See posting section for salary range details. 
Applications Open: Dec 03 2025
 
Applications Close:
<div>General Summary of Position:

The Programming Languages research group (PLOW), led by Prof. Anitha Gollamudi at the Richard Miner School of Computer Science and Information, invites applications for a postdoctoral associate or research scientist position in the area of formal methods for security and machine learning.

Minimum Qualifications:

Postdoctoral Research Associate:

Education:
<ul>
<li>PhD in Computer Science, Mathematics or a related field</li>
</ul>
Research Scientist:

Education:
<ul>
<li>PhD in Computer Science, Computer Engineering, Mathematics</li>
</ul>
Experience:
<ul>
<li>At least one postdoctoral or post-PhD research (min: 2 years, full time) related experience</li>
</ul>
Common Skills:
<ul>
<li>Publications in top-tier venues in at least one of the following areas: security, programming languages, or machine learning</li>
<li>Strong programming skills and motivation to pursue independent research</li>
</ul>
Additional Considerations:
<ul>
<li>Background in cryptography or machine learning</li>
<li>Expertise in numerical methods is a significant plus</li>
<li>Expertise in GPU programming (or High Performance Computing) is a significant plus</li>
<li>Experience with formal methods and enthusiasm for applying them to security and/or machine learning</li>
<li>Applicants should have excellent written and oral communication skills</li>
<li>Ability to work independently, with limited direction, as well as within a team environment.</li>
</ul>
Special Instructions to Applicants:

Only current UML Employees within the Grants &amp; Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period.

This is a full-time, grant-funded, benefited position with an anticipated hiring range of $70,000&ndash;$85,000, and an anticipated starting salary of $70,000 for the position of research scientist. Anticipated hiring range for postdoc is $60,000-70,000. The specific title (postdoctoral associate or research scientist) will depend on the candidate&rsquo;s qualifications and experience.

This position is contingent upon funding, productivity, successful performance and the availability of funding. The initial appointment is for one year, with the possibility of renewal based on productivity, successful performance, and the availability of funding.
Review of applications will begin immediately and continue until the position is filled; however, the posting may close when an adequate number of qualified applications is received.

Please include a curriculum vitae (CV), cover letter, research statement and publication list with your application. Names and contact information for three references will be required during the application process.</div></div>

Research Scientist or Postdoctoral Associate in Formal Methods for Security and Machine Learning

Scripps Research

<div>ABOUT US: 
Scripps Research is a nonprofit biomedical institute ranked as one of the most influential in the world for its impact on innovation. We celebrated our 100-year legacy in 2024. This significant milestone marks a century of seminal discoveries in immunology, infectious diseases (such as COVID-19, flu, HIV), neuroscience, heart disease, cancer, and more. Located in La Jolla, California, the institute houses six research departments, multiple Nobel laureates, a top-ranked graduate school and a leading postdoctoral training program. Scripps Research encompasses two elite and highly innovative institutes, the Calibr-Skaggs Institute for Innovative Medicines and Scripps Research Translational Institute, which merge foundational studies in biology, chemistry and computer science with translational science to produce pioneering drugs and advances in digital and precision medicine. Together, we cultivate new scientific leaders and expand the frontiers of knowledge to deliver medical breakthroughs impacting human health around the globe. If you have a passion for making a difference, this could be your opportunity to join our transformative team.

POSITION TITLE: Postdoctoral Associate 
 
POSITION SUMMARY: 
 
The spatial genomics-proteomics oriented cell/computational biology laboratory of Dr. William E. Balch in the Departments of Molecular and Cellular Biology at Scripps Research has an opening for a candidate with an interest in understanding and treating the underlying basis of mono- and polygenic diseases impacting the protein fold in response to genetic variation in the human population. The work is at the interface of combining human physiology with machine learning modeling approaches, linking bench to bedside to the discovery of therapeutics to treat human disease. Successful candidates will contribute to the development and application of experimental/computational approaches to assess the impact of genetic diversity found in different disease causing variants in individuals that can be interrogated by machine learning approaches to the population as a whole. Join the Balch lab which is at the forefront of exciting new developments of genetic disease therapeutics.

Postdoctoral Associates are appointed positions for the purpose of developing scholarly competence, working under the supervision of a Scripps Research Faculty member. These appointments are normally not renewed beyond a total of five years. Postdoctoral Associates cannot apply for external funding either as a Principal Investigator or Co-Principal Investigator without prior approval from a Departmental Chair.
Make Scripps Research your next step to advance and develop your career. Click here to learn more about our Postdoctoral Program and Services: https://education.scripps.edu/postdoctoral/

REQUIREMENTS:

Must possess a Ph.D., M.D., D. Phil., or equivalent degree from a recognized institution of higher learning. A pending doctoral degree may be considered with approval of the Principal Investigator and Human Resources.
<ul>
<li>Experimentally, skillsets of interest include expertise in tissue culture, biochemical tools (SDS-PAGE, immunoblotting, ELISA, protein assay), and a good working knowledge of molecular techniques including generation of mutant plasmids, transfection with plasmids/siRNA for transient protein expression in cell-based reporter systems as well as use of CRISPR and transcriptomics/proteomics technologies.</li>
<li>Knowledge of high throughput/high content assay formats (96/384 well) will be considered an important contribution to project implementation.</li>
<li>Computationally, knowledge of and appreciation of value of large datasets mined from both experimental and large open access databases to train machine learning approaches that can link our bench efforts to the clinical population harboring rare disease would be an important skillset</li>
</ul>
COMPENSATION: Postdoctoral Associates will be hired following the National Institute of Health and California&rsquo;s exempt salary guidelines, which provide for a starting range of $70,304 - $73,230. Consideration will be given to experience that exceeds the listed requirements.

 COMPREHENSIVE BENEFITS INCLUDE:
<ul>
<li>Eligibility for retirement plans with employer contribution.</li>
<li>Full suite of Health and Welfare plans including three medical plan options (including an HSA available option), dental, vision, life insurance, disability, EAP and more.</li>
<li>Access to Flexible Spending Accounts (Medical/Dependent Care).</li>
<li>Free, on-site Counseling Center which provides confidential counseling services to benefits-eligible employees and their family members.</li>
<li>Competitive vacation and sick leave policies.</li>
<li>Free, on-site parking.</li>
<li>Pet Insurance</li>
</ul>
The above statements describe the level of work performed and expected in general terms. The statements are not intended to list all the responsibilities, duties and/or skills required of employees so classified, and the content herein is subject to change due to the business needs of Scripps Research, with or without notice. Furthermore, nothing in this job description shall be interpreted to be in conflict with or to eliminate or modify in any way the employment-at-will status of Scripps Research staff.

EEO Statement:The Scripps Research Institute is an Equal Opportunity Employer. We promote diversity of thought, culture and background in the fields of science. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</div>

POSTDOCTORAL ASSOCIATE - Balch Lab

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