ZipRecruiter

Log In

1

Temporary Machine Learning Postdoc Jobs in Virginia

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Postdoctoral Associate Apply now Back to search results Job no: 531898 Work type: Research Faculty ... datasets and machine learning approaches to identify FDA approved drugs that target key ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Postdoctoral Associate Apply now Back to search results Job no: 536557 Work type: Research Faculty ... machine learning, deep learning, and image analysis Ability to work independently while ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Postdoctoral Associate Apply now Back to search results Job no: 536195 Work type: Research Faculty ... Demonstrated research expertise in federated learning, differential privacy, machine learning for ...

Lateral Insights LLC

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... has a temporary work visa. * Bachelor's degree in Computer Science, Engineering, or a related ... Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and ...

next page

Showing results 1-20

All JobsTemporary Machine Learning Postdoc JobsTemporary Machine Learning Postdoc Jobs in Virginia

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
Research Associate in Materials Science and Engineering

Research Associate in Materials Science and Engineering

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 3 days ago

University Of Virginia rating

7.8

Company rating: 7.8 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

192nd of 538 rated colleges and universities

Job description

The Ke Research Group in the Department of Materials Science and Engineering at the University of Virginia is seeking applicants for a Postdoctoral Research Associate position in computational materials science and theoretical condensed matter physics, with a focus on strongly correlated materials, especially rare-earth systems.
The successful candidate will work on fundamental research projects in rare-earth magnetic materials, including permanent magnets and quantum materials, with emphasis on analytical modeling, first-principles electronic-structure methods, rare-earth 4f physics, crystal-field effects, high-throughput materials discovery, and machine-learning-assisted materials design.
RESPONSIBILITIES:
  • Develop theoretical methods and computational approaches for strongly correlated rare-earth materials
  • Perform and analyze ab initio calculations for strongly correlated systems
  • Develop automated workflows for materials screening and property prediction
  • Collaborate with experimental and theoretical partners across groups and institutions to interpret results and guide materials discovery
  • Prepare manuscripts, present research results, and contribute to project reports and proposals
  • Mentor graduate and undergraduate students as appropriate

REQUIRED QUALIFICATIONS:
  • Ph.D. in physics, materials science, chemistry, or a related field by the start date
  • Research experience in electronic-structure theory or computational condensed matter physics, demonstrated by first-author publications

PREFERRED QUALIFICATIONS:
Candidates with experience developing or implementing computational methods, rather than only running standard DFT calculations, are especially encouraged to apply. Experience in one or more of the following areas is desirable:
  • Strongly correlated electron systems
  • Rare-earth and 4f-electron physics
  • Magnetism, magnetic anisotropy, and spin-orbit coupling
  • High-throughput computational workflows
  • Machine learning for materials discovery
  • Development or implementation of novel electronic-structure methods
  • Strong programming skills and experience with HPC environments
  • Strong written and oral communication skills

APPLICATION PROCEDURE:
Apply online at https://jobs.virginia.edu/us and search for R0083822. Attach the following documents: a cover letter, a curriculum vitae, and contact information for three references. Please note that multiple documents can be uploaded in the box.
APPLICATION DEADLINE:
Review of applications will begin on June 13, 2026, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
This is a one-year appointment, and the appointment may be renewed contingent upon available funding and satisfactory performance.
For questions about the position, please contact Liqin Ke, Associate Professor, at uvn6ns@virginia.edu .
For questions regarding the application, please contact Rich Haverstrom, Academic Recruiter, at rkh6j@virginia.edu .
A competitive salary and benefits package is offered at University of Virginia. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
Job Profile
J0267 - Research Associate - 12 Month
Career Stream and Level
No Career Stream-No Level
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 .

What University Of Virginia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

University of Virginia logo

About University of Virginia

Sourced by ZipRecruiter

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.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

View All University of Virginia Jobs

Apply