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Mathematical Optimization Postdoc Jobs in Virginia

micro1 AI

Senior Scientific Reviewer - Physics

Roanoke, VA · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

micro1 AI

AI Training Specialist - Physics

Alexandria, VA · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

micro1 AI

AI Training Specialist - Physics

Norfolk, VA · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

micro1 AI

Senior Scientific Reviewer - Physics

Suffolk, VA · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

micro1 AI

Senior Scientific Reviewer - Physics

Norfolk, VA · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

micro1 AI

AI Training Specialist - Physics

Roanoke, VA · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

micro1 AI

AI Training Specialist - Physics

Chesapeake, VA · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

micro1 AI

Senior Scientific Reviewer - Physics

Hampton, VA · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

micro1 AI

AI Training Specialist - Physics

Suffolk, VA · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

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All JobsMathematical Optimization Postdoc JobsMathematical Optimization Postdoc Jobs in Virginia

Mathematical Optimization Postdoc information

What is a mathematical optimization postdoc?

A Mathematical Optimization Postdoc is a researcher who has completed their PhD and is engaged in advanced research focused on mathematical optimization. This field involves developing and analyzing algorithms and mathematical models to find the best solutions to complex problems, often under constraints. Postdocs in this area typically work at universities, research institutes, or in industry, collaborating with other scientists and publishing their findings. Their work may be applied to areas such as logistics, machine learning, finance, or engineering. The position is usually temporary, lasting from one to three years, and serves as a stepping stone to permanent academic or industry roles.

What are some common challenges faced by mathematical optimization postdocs when transitioning from academic research to industry projects?

Mathematical Optimization Postdocs often find the transition to industry projects challenging due to differences in project timelines, the need for practical and scalable solutions, and collaboration with interdisciplinary teams. In industry, optimization problems may be less theoretically defined and require rapid prototyping, frequent communication with stakeholders, and adaptability to changing business needs. Developing strong communication skills and learning to balance rigorous research with practical constraints are key to succeeding in this environment.

What are the key skills and qualifications needed to thrive as a mathematical optimization postdoc, and why are they important?

To thrive as a Mathematical Optimization Postdoc, you need an advanced degree (typically a PhD) in mathematics, operations research, or a related field, with a deep understanding of optimization theory and algorithms. Familiarity with programming languages such as Python, MATLAB, or C++, and experience with optimization software like Gurobi or CPLEX, are commonly required. Strong analytical thinking, problem-solving abilities, and effective collaboration and communication skills set outstanding candidates apart. These skills are crucial for conducting innovative research, publishing results, and contributing to interdisciplinary projects in academic or industry settings.

What is the difference between Mathematical Optimization Postdoc vs Operations Research Analyst?

AspectMathematical Optimization PostdocOperations Research Analyst
Required credentialsPhD in mathematics, operations research, or related fieldBachelor's or master's degree in operations research, mathematics, or engineering
Work environmentAcademic research, university labs, research institutesCorporate, government agencies, consulting firms
Employer and industry usageUniversities, research institutionsBusinesses, government, consulting
Common search intentResearch, academic positions, postdoctoral opportunitiesApplying optimization techniques in industry, problem-solving roles

The Mathematical Optimization Postdoc primarily focuses on academic research and advancing theoretical methods in optimization, often within universities or research institutions. In contrast, Operations Research Analysts apply these techniques in practical industry settings to solve real-world problems. While both roles require strong analytical skills, the postdoc emphasizes research and publication, whereas the analyst role centers on implementation and operational decision-making.

What are popular job titles related to Mathematical Optimization Postdoc jobs in Virginia?

For Mathematical Optimization Postdoc jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Mathematical Optimization Postdoc jobs in Virginia look for?

The top searched job categories for Mathematical Optimization Postdoc jobs in Virginia are:

What cities in Virginia are hiring for Mathematical Optimization Postdoc jobs?

Cities in Virginia with the most Mathematical Optimization Postdoc job openings:

Mathematical Optimization Postdoc jobs near you
Infographic showing various Mathematical Optimization Postdoc job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution.

Research Associate in Computer Science

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 15 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 620 rated colleges and universities

Job description

The University of Virginia, Department of Computer Science, is seeking applicants for a Research Associate (postdoctoral) position under the supervision of Professor Ferdinando Fioretto .
As a key member of the research team, the postdoctoral researcher will develop novel physics-constrained generative AI methods (diffusion models and flow matching) for real-time transmission-grid topology control. The researcher will design topology-agnostic diffusion models that generate diverse switching configurations from post-contingency grid states while satisfying network connectivity, N-1 security, and thermal limits. Concurrently, they will enhance their skills in teaching, mentoring, and proposal development.
The successful candidate will lead technical deliverables and manuscripts targeting top-tier machine-learning conferences and leading journals in power systems. The position offers an exceptional collaborative network spanning academia, industry, national laboratories.
QUALIFICATION REQUIREMENTS: A Ph.D. in computer science, electrical engineering, operations research, or a related field by the start date. The candidate should have a strong machine-learning research record, rigorous mathematical and experimental skills, and the ability to deliver high-quality results on short timelines. Expertise in one or more of the following is strongly preferred: generative or diffusion models, optimal power flow and power systems, graph neural networks, constrained or physics-informed machine learning. Proficiency with frameworks such as PyTorch is expected. Prior power-systems experience is highly beneficial.
APPLICATION PROCEDURE: Apply online through UVA Jobs and search for requisition R0085429. Upload a current CV, a short statement describing the applicant's research background, interests, and fit, 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 August 15, and 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; The appointment may be renewed for an additional year contingent upon available funding and satisfactory performance. The successful candidate is expected to begin by September 1, 2026, or earlier.
For questions regarding this position, contact Ferdinando Fioretto, Associate Professor, at fioretto@virginia.edu .
For questions regarding the application process, contact Rich Haverstrom, Faculty Search Advisor, at rkh6j@virginia.edu .
For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
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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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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