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The Pennsylvania State University is seeking a motivated graduate student in Computer Science to join an interdisciplinary project that develops AI agents simulating human behavior and adaptation during urban disasters.
The work fuses large language models, real-world data, behavioral science, and theory-driven modeling to build realistic and interpretable simulations for emergency planning and risk communication.
Computer Science is seeking a motivated graduate student to work on an interdisciplinary project developing AI agents that simulate human behavior and adaptation during urban disasters. The project combines large language models, real-world data, behavioral science, and theory-driven modeling to build realistic and interpretable simulations for emergency planning and risk communication. The student will have opportunities to work on LLM/AI agent development, data analysis, simulation, and evaluation, with applications to disaster resilience and urban systems. Students with backgrounds in computer science, AI/ML, NLP, or related fields are encouraged to apply.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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