Defense Postdoc: Adversarial ML & Bayesian Analysis
Oak Ridge Institute for Science and Education
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Benefits offered by this job
Job summary
Oak Ridge Institute for Science and Education (ORISE) invites you to join AFIT for a twelve-month post-doctoral research opportunity in Dayton, Ohio. You will work under a mentor, studying adversarial interactions, multi-agent systems, and decision-making under uncertainty in security and defense contexts.
The role emphasizes methodological innovation, theoretical development, and applied mathematical/statistical modeling, with stipends based on academic standing, and provisions including health
Qualifications
- PhD within 60 months or pursuing; discipline-aligned qualifications.
- Strong publications or presentations in relevant areas.
- Proficient in Python/R/Julia/C/C++/MATLAB for scientific computing.
- Familiar with solvers like Gurobi/CPLEX or probabilistic frameworks Stan/PyMC.
- Ability to formulate high-impact research questions from unstructured requirements.
Responsibilities
- Research adversarial interactions and multi-agent systems.
- Develop methodological and theoretical models and apply statistical methods.
- Contribute to Bayesian statistics, decision analysis, and optimization research.
Skills
Education
Tools
Job description
Oak Ridge Institute for Science and Education (ORISE) invites you to join AFIT for a twelve-month post-doctoral research opportunity in Dayton, Ohio. You will work under a mentor, studying adversarial interactions, multi-agent systems, and decision-making under uncertainty in security and defense contexts.
The role emphasizes methodological innovation, theoretical development, and applied mathematical/statistical modeling, with stipends based on academic standing, and provisions including health
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