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U.S. Department of Energy

Just Landed

Postdoctoral Research Fellowship in Operations Research and Data Science (AFIT) U.S. Department of Defense (DOD) in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Stipend of $6,500.00–$8,250.00 monthly, plus possible health insurance supplement, relocation allowance, and training/travel allowance; stipend amount determined by AFIT.

Deadline

May 21, 2027

Country flag

Country

United States

University

U.S. Department of Energy

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Keywords

Computer Science
Data Science
Information Technology
Mathematics
Decision Making
Operations Research
Industrial Engineering
Game Theory
Bayesian Statistics
Statistics
Statistical Modelling
Multi-agent System

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About this position

This postdoctoral research fellowship at the Air Force Institute of Technology invites the selected participant to join the Department of Operational Sciences on research at the intersection of operations research and data science. The project centers on adversarial interactions, multi-agent systems, and decision-making under uncertainty in security and defense settings.

The research program emphasizes methodological innovation, theoretical development, and applied mathematical/statistical modeling. Topics named in the opportunity include adversarial location and network interdiction models, adversarial machine learning attacks and defenses, bilevel or multilevel optimization, Bayesian statistics, decision analysis, and adversarial risk analysis.

The fellow will work under the guidance of a mentor within AFIT, the U.S. Air Force’s graduate school of engineering and management at Wright-Patterson Air Force Base. The appointment is administered through ORISE and places the participant within a defense-focused research environment connected to the Department of Defense.

The opportunity is research-oriented and interdisciplinary, with strong ties to mathematical optimization, uncertainty quantification, and computational methods used for defense applications.

Funding details

Stipend of $6,500.00–$8,250.00 monthly, plus possible health insurance supplement, relocation allowance, and training/travel allowance; stipend amount determined by AFIT.

What's required

Applicants should hold or be currently pursuing a doctoral degree in Operations Research, Industrial Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Systems Engineering, or a closely related field. The doctoral degree must have been earned within the last 5 years by the appointment start date. A PhD is not required at the time of selection, but the candidate should ideally complete the PhD before the start date; ABD status may be acceptable if the requisite research qualifications are demonstrated. Preferred qualifications include a background in quantitative research evidenced by peer-reviewed publications, academic presentations, or preprint manuscripts; knowledge of Bayesian statistics, mathematical optimization, game-theoretic analysis, network problems, decision analysis, or behavioral economics; proficiency in scientific computing or statistical programming languages such as Python, R, Julia, C++, or MATLAB; familiarity with solvers such as Gurobi or CPLEX or Bayesian computing frameworks such as Stan or PyMC; and the ability to formulate high-impact, novel, well-defined research questions from unstructured requirements. Citizenship must be LPR or U.S. Citizen.

How to apply

Apply through the Zintellect portal using the Apply button on the opportunity page. Complete the Zintellect profile, educational and employment history, essay questions, resume, transcript, and one recommendation. If emailing questions, include reference code AFIT-2026-0022 in the subject line and do not send application materials by email.

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