1

Mathematical Optimization Postdoc Jobs (NOW HIRING)

Experience with mathematical, computational, or statistical modeling * Experience developing ... optimization, and development of tools suitable for high-performance computing environments.

... optimal transport, and neural operators. Candidates whose expertise connects to any of these areas ... mathematics, computer science, or a closely related field; a strong record of research; and ...

Design and analyze quantum algorithms for optimization, combinatorial search, differential ... mathematics, and the physical sciences. * AI for Quantum Systems: Apply machine learning and ...

Showing results 21-40

Mathematical Optimization Postdoc information

See salary details

$5

$22

$29

How much do mathematical optimization postdoc jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for mathematical optimization postdoc in the United States is $22.32, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

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.

More about Mathematical Optimization Postdoc jobs

What cities are hiring for Mathematical Optimization Postdoc jobs?

Cities with the most Mathematical Optimization Postdoc job openings:

What states have the most Mathematical Optimization Postdoc jobs?

States with the most job openings for Mathematical Optimization Postdoc jobs include:

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

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

Infographic showing various Mathematical Optimization Postdoc job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,417 per year, or $22.3 per hour.

Postdoctoral Associate

Durham, NC • On-site

Duke University
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago


Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

491st of 631 rated colleges and universities


Job description

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.
Be You.
The Department of Population Health Sciences in Duke University School of Medicine invites applications for a Postdoctoral Research Associate to join a rigorous, data-intensive research team. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification, and large-scale simulation. The successful candidate will contribute to the development of an HIV epidemic simulation that integrates dynamic social and sexual networks, heterogeneous susceptibility and infectiousness, treatment and prevention interventions, and realistic behavioral processes to evaluate strategies for reducing HIV transmission.
The Postdoctoral Associate will train under the primary mentorship of Dr. Dana Pasquale within a highly collaborative environment that includes expertise in infectious disease epidemiology, network science, computational immunology, mathematical modeling, and HIV clinical care. The position is intended to provide intensive methodological training, opportunities for scientific leadership, and support for developing an independent research program.
The project centers on the development of a calibrated agent-based HIV epidemic simulation representing populations in the U.S. South. The model will incorporate realistic network structures, behavioral dynamics, treatment uptake and adherence, within-host differences in infectiousness, and uncertainty quantification frameworks to evaluate HIV intervention scenarios.
Minimum Requirements:
A PhD degree is required.
Preferred Qualifications:
  • Experience with mathematical, computational, or statistical modeling
  • Experience developing simulation models, agent-based models, network models, stochastic systems, or dynamical systems
  • Experience with R or Python
  • Experience working in high-performance computing environments
  • Familiarity with version control systems such as Git or GitHub
  • Demonstrated scientific writing and publication experience
  • Interest in infectious disease modeling, network science, public health, or population dynamics

Ideal for candidates who:
  • Have recently completed (or are near completion of) a doctoral degree in Applied Mathematics, Statistics, Biostatistics, Computer Science, Computational Biology, Systems Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field
  • Demonstrate strong computational and quantitative problem-solving skills
  • Have experience developing reproducible analytical workflows
  • Are interested in large-scale simulation, uncertainty quantification, and model calibration
  • Are motivated to work on interdisciplinary scientific questions that combine social, behavioral, biological, and population-level processes
  • Exhibit strong critical thinking, creativity, and attention to detail
  • Are interested in leading scientific manuscripts and developing independent research ideas for future grant funding

Be Bold.
Position Description:
Agent-Based and Network Modeling: The Postdoctoral Associate will lead development of an agent-based HIV epidemic simulation that integrates realistic social and sexual networks with individual-level behavioral and biological processes. The position involves designing simulation architectures, implementing dynamic network models, developing synthetic populations, and evaluating intervention scenarios relevant to HIV interventions.
Open-Source Code and Model Development: The Postdoctoral Associate will contribute to the creation of scalable, reproducible software for epidemic simulation and analysis. Responsibilities include model implementation, workflow automation, software documentation, performance optimization, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable.
Model Calibration, Validation, and Uncertainty Quantification: The Postdoctoral Associate will develop and implement approaches for parameter estimation, calibration, validation, sensitivity analysis, and uncertainty quantification. This work will involve integrating observational and surveillance data into simulation frameworks and evaluating model performance against population-level epidemiological targets.
Manuscripts & Scientific Communication: The Postdoctoral Associate will lead and contribute to peer-reviewed publications, conference presentations, and scientific reports. The position is structured to support first-author publications and the development of a strong publication portfolio. The candidate will also have opportunities to contribute to grant applications and develop independent research ideas for future external funding.
Collaborative Team Science: The Postdoctoral Associate will work closely with an interdisciplinary team of investigators with expertise spanning epidemiology, mathematics, network science, computational immunology, and HIV medicine. The position offers opportunities to collaborate across multiple disciplines while maintaining substantial scientific independence.
Professional Development: The position is designed to support the transition to research independence. The Postdoctoral Associate will receive mentorship in scientific leadership, manuscript development, external grant writing, and career development. Candidates interested in pursuing academic, government, industry, or research-intensive careers are encouraged to apply.
Appointment:
This is a full-time, 12-month appointment supported by project funding. Continued employment beyond the project period is dependent on the availability of future project funding.
Hybrid and remote work arrangements may be considered for highly qualified candidates.
Required Application Documents:
  • Current CV
  • Cover letter describing research interests and career goals
  • Statement of research interests
  • One representative writing sample (reflecting independent work)
  • Contact information for three references

Choose Duke.
Join our award-winning team as identified by Forbes magazine as America's Best Large Employer 2024 and be part of an inclusive culture that values excellence, innovation, and discovery. As an organization, we have exciting opportunities to be forward-thinking leaders in our field. We want talented individuals to join us, examine our current operations, and create innovative solutions that will revolutionize and enhance the way we approach our work.
Duke University is consistently ranked among the top universities worldwide and is renowned for its cutting-edge research across disciplines.
Beyond the engaging work, you'll also benefit from Duke's competitive benefits package including health insurance plans, generous paid time off, retirement programs with employer contributions, tuition assistance for employees and their children, and more.
Diversity Statements:
Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.
Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

What Duke University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Duke University logo

About Duke University

Sourced by ZipRecruiter

Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US