International Association
for Cryptologic Research

We are looking for a motivated and talented PhD student with a passion for reinforcement learning and cybersecurity. Your main objectives will be to contribute to realistic cybersecurity benchmarks and simulators for the RL research community, develop state-of-the-art algorithms that adapt to changing threats, incorporate user models, and provide tangible performance assurance. You will investigate how to represent network environments, implement multi-agent or single-agent RL approaches, and evaluate them using realistic scenarios. Your research may have a direct real societal impact by helping to protect critical infrastructure and everyday technology users. Requirements - M.Sc. degree (completed or near completion) in Computer Science, Cyber Security, Artificial Intelligence, or a related field. - Demonstrated interest and experience (e.g., via projects, code, or publications) in reinforcement learning and/or cybersecurity. - Experience with programming (e.g., in Python, C/C++, or similar) - Proficiency in English (oral and written). - Excellent communication and collaboration skills. Are you interested in this exciting position but still have questions? Feel free to contact Dr. Ashish Sai at ashish.sai@maastrichtuniversity.nl or Dr. Dennis Soemers at dennis.soemers@maastrichtuniversity.nl.