Virginia Tech Applied Research Corporation
Virginia Tech Applied Research Corporation
Virginia Tech Applied Research Corporation (VT-ARC) conducts national security research and provides technical services for government, industry, and academic partners. Its work develops technical and operational approaches to strengthen critical infrastructure resilience, support human and machine decision-making, and advance scientific discovery. The organization focuses on mission needs and contemporary threats, applying collaborative research to challenges in defense, healthcare, and related fields.

Postdoctoral Research Fellow, Agentic Modeling and Wargaming

Develop agent-based simulations, analytical wargaming tools, and decision-support prototypes through mentored defense research at VT-ARC, a nonprofit applied research and development organization.

Сипаттама

  • Shape research questions, hypotheses, evaluation criteria, and practical work plans with a senior mentor
  • Propose original studies and help create an individual development plan
  • Build, test, debug, document, and demonstrate prototype models, simulation components, data integrations, and analytical applications
  • Turn scoped concepts into working implementations and evaluate them iteratively
  • Develop and assess generative agent-based simulations and human-supervised agentic workflows
  • Run experiments and sensitivity studies on prompts, model choices, stochastic variation, data quality, and assumptions
  • Compare findings with baselines or reference cases and record limitations
  • Apply Python and related tools to prepare data, use APIs, run simulations, and analyze results
  • Work in approved AWS or comparable environments while following access controls and compute budgets
  • Translate research into mission threads, conceptual models, requirements, interfaces, and evaluation plans
  • Support analytical wargames and tabletop studies with scenarios, evaluation logic, data collection, and prototype demonstrations
  • Join approved, unclassified discussions with government stakeholders and present technical findings and limitations
  • Maintain version-controlled code, tests, experiment records, and technical documentation
  • Prepare research briefs, presentations, manuscripts, and publication-ready materials when release is authorized
  • Track agreed tasks and milestones, report progress, flag risks, and contribute to technical reviews
  • Use approved coding assistants responsibly and verify generated code independently
  • Work with an assigned senior research mentor on mission engineering, analytical wargaming, and decision-support prototyping

Талаптар

  • Show research and modeling ability through doctoral work, publications, research engagements, or substantial technical projects
  • No minimum post-Ph.D. employment experience is required
  • Can build, test, debug, and explain functioning analytical software or research prototypes
  • Proficient in Python, or strongly skilled in another relevant language and able to become productive in Python quickly
  • Experience with agent-based modeling, system dynamics, generative agents, or related computational modeling
  • Understand agentic AI and can investigate and verify model behavior
  • Can design experiments, assess evidence, conduct sensitivity analyses, and maintain reproducible code and research records
  • Practical experience with APIs, version control, debugging, and testing
  • Experience with cloud tools such as AWS, or ability to learn approved environments quickly while following data handling, access, and resource-use rules
  • Can structure open-ended problems, learn new mission areas, communicate with technical and nontechnical audiences, carry out agreed work independently, and respond constructively to review
  • Ph.D. in Industrial and Systems Engineering, another engineering discipline, Operations Research, Computer Science, Applied Mathematics, or a related technical field completed by the fellowship start date
  • Selected candidate must meet employment authorization and applicable background-screening requirements
  • Familiarity with or strong interest in the national security field is critical for long-term success
  • Prior defense employment, an existing security clearance, and independent wargame leadership are not required

Артықшылықтар

  • Paid research appointment with mentoring
  • Dedicated research exploration within the paid work plan
  • Written research and individual development plan with regular technical and career-development reviews
  • Approved professional development activities included in the paid work plan
  • Possible appointment extension, subject to funding, performance, and HR approval
  • Approved research tools and computing resources provided or funded by VT-ARC
  • Limited, preapproved travel for research collaboration, demonstrations, workshops, or professional development
  • U.S.-based remote work may be considered and approved
  • Potential future research or systems and mission engineering opportunities at VT-ARC
  • Equal opportunity employer
  • Reasonable accommodation for the application or interview process

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