Research Scientist

About the role

Applied research role developing decision models for construction scheduling, site portfolios, and security operations across nuclear infrastructure. Work includes simulation and empirical research, RL and optimization, with models delivered to production. Salary is $150,000-$173,000; the posting does not state sponsorship or citizenship requirements.

Requirements

• PhD in a quantitative field, or MS with independent research output
• Hands-on implementation and evaluation of deep RL algorithms
• Experience building RL training simulations and formulating real-world processes as MDPs
• Production-quality Python and PyTorch, with version control, testing, and reproducibility
• Preferred experience in offline RL, graph neural networks, multi-agent RL, robust optimization, and energy or infrastructure domains

What you'll do

• Model and optimize construction scheduling across concurrent sites
• Build portfolio decision systems for site sequencing and capital allocation under uncertainty
• Develop alert prioritization, anomaly detection, and patrol scheduling for cyber and physical security
• Design and evaluate simulation environments and decision models
• Collaborate on production deployment, monitoring, and communication of results

Where this was posted

• LinkedIn

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