Pacific Northwest National Laboratory PhD Intern - Summer Research Internship in Machine Learning for Cyber-Physical Security in RICHLAND, Washington
Organization and Job ID
Job ID: 310501
Directorate: Energy and Environment
Division: Electricity Infrastructure & Buildings
Group: Optimization & Control
The candidate will work in the areas of multi-agent reinforcement learning (RL) and game theory with application to security for complex cyber-physical systems, such as the power grid, commercial buildings and transportation systems. They key focus of the research is to develop, train and validate multi-agent RL models for securing vulnerable nodes in cyber-physical networks against stealthy and dynamic adversarial attacks. To contribute to these research efforts, a successful candidate would have technical expertise in machine learning, optimization and control of dynamic systems, and foundational game theory. In addition, the candidate should be proficient in latest programing languages and software tools for machine learning and optimization. The candidate is expected to collaborate effectively within multi-disciplinary research teams at PNNL.
Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. Minimum GPA of 3.0 is required.
Currently enrolled in a Ph.D. program in Computer Science/Operations Research/ Electrical Engineering or other related fields with methodological interests in the areas of RL, optimization and game theory.
Experience with development of RL algorithms for dynamical control systems
Experience with mathematical modeling for cybersecurity problems
Proficient in PyTorch or TensorFlow with some experience of deploying models in Open AI-Gym
Proficient in high-level programming languages, such as Python or Julia
Experience with optimization solvers for convex and non-convex problems
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment.
Directorate: Energy & Environment
Job Category: Master's and PhD Level Internships
Group: Optimization & Control
Opening Date: 2020-02-13
Closing Date: 2020-03-14