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Temporary Machine Learning Postdoc Jobs in Virginia

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 ...

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 ...

Machine Operator - Peopleshare Virginia Beach, VA Starting at $17.00/hour+ (Temp-to-Perm ... while learning valuable skills Schedule: • 1st Shift: 6:55 AM - 3:05 PM • 2nd Shift: 2:55 PM ...

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 ...

Experience integrating AI or machine learning approaches into environmental modeling * Experience ... Work closely with graduate students, postdoctoral associates, and visiting scientists * Participate ...

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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:

Postdoctoral Researcher

Williammary

Gloucester Point, VA • On-site

$70K/yr

Full-time

Re-posted 17 days ago


Job description

Job Requisition:

JR101341 Postdoctoral Researcher (Open)

Job Posting Title:

Postdoctoral Researcher

Department:

CC00496 VIMS1 | RADV | CCRM

Job Family:

Faculty - Postdoctoral Research Associate (12 months)

Worker Sub-Type:

Fixed Term (requires end date - benefited) (Fixed Term)

Job Requisition Primary Location:

Virginia Institute of Marine Science

Primary Job Posting Location:

Virginia Institute of Marine Science

Job Description Summary:

The mission of William & Mary's Batten School of Coastal & Marine Sciences & Virginia Institute of Marine Science (VIMS) is to seek and broadly communicate knowledge in marine and coastal science to the Commonwealth of Virginia, the nation, and the world through research, education, and advisory service. The Batten School & VIMS make seminal advances in understanding coastal and marine systems through research and discovery, translate research findings into practical solutions to complex issues of societal importance, and provide new generations of researchers, educators, problem solvers, and managers with an education of unsurpassed quality.
The Center for Coastal Resources Management (CCRM) supports informed decision-making on coastal and marine resource management issues at all levels of government and among private and corporate stakeholders. CCRM integrates scientific research, modeling, and applied analysis to address complex coastal systems challenges, including flooding, resilience, and water quality.

Job Description:

The Postdoctoral Researcher will serve as a numerical modeler and programmer within the coastal systems modeling group led by Dr. Y. Joseph Zhang at CCRM. This position supports ongoing and emerging research initiatives focused on coastal hydrodynamics, water quality, and environmental forecasting using physics-based and AI-driven modeling approaches. The incumbent will contribute to the development of next-generation, seamless "creek-to-ocean" operational modeling systems based on the SCHISM framework, collaborate with interdisciplinary research teams, engage with graduate students and visiting scientists, and pursue independent research aligned with CCRM and VIMS strategic priorities.

Required Qualifications:

Education:

  • Earned Ph.D. in a relevant field such as computational science, applied mathematics, or physical oceanography.

Competencies:

  • Demonstrated strong quantitative, numerical modeling, and programming skills, including web-based programming.

  • Broad knowledge of coastal and estuarine systems.

Experience:

  • Experience applying numerical models to oceanic and estuarine systems.

  • Record of peer-reviewed research and scholarly publication appropriate to career stage.

Preferred Qualifications:

Education:

  • Record of peer-reviewed research and scholarly publication appropriate to career stage.

Competencies:

  • Expertise in uncertainty quantification and statistical methods.

  • Experience with data assimilation techniques.

  • Experience applying machine learning approaches to ocean or coastal modeling.

Experience:

  • Hands-on experience with unstructured grid numerical models, particularly SCHISM.

  • Demonstrated experience working in interdisciplinary research teams.

Salary - up to $70,000.00 commensurate with experience

Conditions of employment:

This is a term restricted position, subject to the continued availability of funding.

Core Duties and Responsibilities:

Research and Project Support (75%)

  • Conduct advanced numerical modeling research in support of the Center of Excellence for Environmental Forecasting (CEEF), with a primary focus on recurrent flooding, coastal resilience, and related coastal system processes.

  • Apply physics-based and AI-based modeling approaches to simulate coastal hydrodynamics, water quality, sediment transport, and estuarine processes using established and emerging modeling frameworks, including SCHISM.

  • Contribute to the development, testing, calibration, and implementation of next-generation "creek-to-ocean" operational modeling systems.

  • Support other funded research projects aligned with CEEF priorities, including projects related to flooding dynamics, sediment transport, and coastal and estuarine systems modeling.

  • Work closely with faculty investigators, research collaborators, graduate students, and visiting scientists to support ongoing research activities and project deliverables.

  • Assist with model setup, data processing, analysis, visualization, and interpretation of results to support project objectives and decision-making needs.

Scholarly Publications (15%)

  • Prepare high-quality manuscripts for submission to peer-reviewed scientific journals based on modeling results and research findings.

  • Collaborate with project team members and co-authors to synthesize results and develop clear, well-documented scientific publications.

  • Respond to reviewer feedback and revise manuscripts as needed to support successful publication.

  • Maintain an active research and publication record consistent with the expectations of externally funded research projects.

Proposal and Report Development (10%)

  • Assist in preparing technical reports and research summaries for project sponsors, funding agencies, and other stakeholders.

  • Contribute modeling results, figures, methods descriptions, and technical narratives for project reports and deliverables.

  • Support the development of grant proposals by assisting with technical content, modeling approaches, and research methodology sections.

  • Participate in proposal development efforts to help secure continued and new external research funding aligned with CCRM and CEEF priorities.

Additional Job Description:

Job Profile:

JP0518 - Postdoctoral Research Associate (12 months) - Exempt - Salary - S99

Qualifications:

Compensation Grade:

S99

Recruiting Start Date:

2026-02-12

Review Date:

Position Restrictions:

EEO is the Law. Applicants can learn more about William & Mary's status as an equal opportunity employer by viewing the "Know Your Rights" poster published by the U.S. Equal Employment Opportunity Commission. https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal

Background Check: William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

Remote Work Disclaimer: Remote work eligibility is not guaranteed and is subject to approval. Employee eligibility depends on the likelihood of the employee succeeding in a remote work arrangement and the supervisor's ability to manage remote workers. Departments and/or Human Resources may amend, alter, change, delete, or modify eligibility.