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Temporary Machine Learning Postdoc Jobs in Virginia

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

Postdoctoral Associate Apply now Back to search results Job no: 536282 Work type: Research Faculty ... AI for cybersecurity, including the use of machine learning and large language models for cyber ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

Postdoctoral Associate Apply now Back to search results Job no: 534769 Work type: Research Faculty ... and machine learning. The position will start in fall 2026 and will be for two years, with a ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

... and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech's campus in Blacksburg, VA. The postdoc will have a ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

Postdoctoral Associate Apply now Back to search results Job no: 536240 Work type: Research Faculty ... Machine Learning (SciML). They will be expected to collaborate with members of the group as well as ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

The postdoctoral associate will have opportunities to collaborate with experts in AI and machine learning. The post-doctoral associate will also be responsible for data management and dissemination ...

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Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Virginia? The most popular types of Machine Learning Postdoc jobs in Virginia are:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in Virginia? For Temporary Machine Learning Postdoc jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Virginia look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Virginia are:
What cities in Virginia are hiring for Temporary Machine Learning Postdoc jobs? Cities in Virginia with the most Temporary Machine Learning Postdoc job openings:
Temporary Machine Learning Postdoc jobs near you
Infographic showing various Temporary Machine Learning Postdoc job openings in Virginia as of May 2026, with employment types broken down into 56% Full Time, 42% Part Time, and 2% Contract. Highlights an 86% Physical, 9% Hybrid, and 5% Remote job distribution.
Postdoctoral Research Associate

Postdoctoral Research Associate

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 8 days ago

University Of Virginia rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

92nd of 528 rated colleges and universities

Job description

We are looking for a highly motivated Postdoctoral Research Associate to join the Platig Lab at the University of Virginia. The candidate would be part of an interdisciplinary team of computational biologists, data scientists, and RNA biologists investigating the role of alternative splicing in Type 1 Diabetes (T1D). The project will leverage large-scale generation (400+ samples) of long-read RNA-seq from CD4+ T cells in a T1D cohort across multiple time points. A core aim of this project will be to develop interpretable machine learning approaches to understand how RNA binding proteins (RBPs) regulate observed splicing changes and to test putative mechanisms experimentally.
This is a unique opportunity to work at the intersection of machine learning, RNA biology, and immunology, with translational relevance to T1D.
Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period
This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding.
Responsibilities
  • Integrate long-read and short-read RNA-seq with RBP data (motifs, eCLIP) for splicing and isoform analysis
  • Develop machine learning methods to predict functional RNA regulatory elements
  • Collaborate with wet-lab partners to design follow-up experiments
  • Publish findings and present at national conferences
  • Contribute to grant writing and mentorship of graduate students

Minimum Qualifications
  • PhD (awarded or imminent) in bioinformatics, computational biology, or a closely related field
  • Demonstrated experience using long- or short-read RNA-seq to understand alternative splicing
  • Experience using machine learning techniques in genomics
  • Strong publication record
  • Ability to communicate computational techniques to a broad audience

Preferred Qualifications
  • Experience modeling RNA binding proteins
  • Familiarity with T1D
  • Experience with machine learning interpretability approaches (xAI)

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.
Salary will be commensurate with education, experience, and NIH guidelines.
This is an Exempt-level, benefitted position. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
This position is based in Charlottesville, VA, and must be performed fully on-site.
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
Application review/deadline This position will remain open until filled.
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
Please apply online through Online and search for R0083627. Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
For questions about the application process, please contact Bill Crane, Xer5ff@virginia.edu.
For questions about the position, please contact Jennifer Dean, jmdean@virginia.edu
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

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10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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