1

Mathematical Optimization Postdoc Jobs in Virginia

Mathematical Optimization Postdoc information

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 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 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 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 cities in Virginia are hiring for Mathematical Optimization Postdoc jobs? Cities in Virginia with the most Mathematical Optimization Postdoc job openings:
Research Scientist in Biomedical Engineering

Research Scientist in Biomedical Engineering

University of Virginia

Charlottesville, VA • On-site

$70K - $85K/yr

Full-time

Posted 6 days ago

New


University Of Virginia rating

7.8

Company rating: 7.8 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

197th of 544 rated colleges and universities


Job description

The Department of Biomedical Engineering at the University of Virginia seeks a Research Associate to work in Dr. Evan Scott's laboratory (NanoSTAR Institute). This position will focus on developing s ynthesis, drug loading, & characterization of nanocarriers targeting specific cell populations. The Scott lab develops immunomodulatory nanomaterials for the rational design of immunotherapies for cancer, allergy, and infectious disease.
The applicant will be expected to interact with graduate students, perform computational and theory-guided mathematical modeling, and contribute to publications.
The available postdoctoral position will involve collaborative efforts between the Scott lab and leading pharmaceutical corporations as well as multiple academic collaborators investigating a broad range of disease models. The objective of the project is to develop and optimize nanocarrier formulations for targeted modulation of specific immune cell subsets via controlled delivery of diverse, and often novel, therapeutic molecules. The applicant will be responsible for synthesizing, characterizing, and optimizing block copolymers and their assembly into diverse polymeric drug delivery vehicles. Focus will be placed on synthesis and analytical chemistry, not on in vitro or in vivo validation.
Required Qualifications:
A PhD biomedical engineering, chemical engineering, chemistry, materials science, polymer chemistry, pharmaceutical sciences, or a related field is required by the start date. Experience with nanomedicine and/or nanomaterials development as well as experience with cell culture, animal models, and flow cytometry will be a plus.
Preferred Qualifications:
Strong preference will be given to applicants with experience in
characterizing self-assembled nanomaterials and/or lipids using analytical chemistry methods, development of drug delivery platforms for vaccination and/or immunotherapy.
Application Procedure:
Apply online at https://jobs.virginia.edu/us and search for R0084605. and attach the following materials: (1) a cover letter, (2) curriculum vitae, and (3) contact information for three professional references (letters will be requested later).
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.
Application Deadline:
Review of applications will begin on July 22, 2026, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
Additional Information:
  • The position is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding.
  • This is an exempt-level, benefited position with an anticipated salary range of $70,000-$85,000 commensurate with experience.
  • This position is based in Charlottesville, VA, and must be performed fully on-site.

For questions about the position, please contact Evan Scott, Ph.D., Professor of Biomedical Engineering, der4yt@virginia.edu .
For questions about the application process, please contact Rich Haverstrom, Academic Recruiter, rkh6j@virginia.edu.
For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits.
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
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