COMPUTER SCIENCE - INFORMATICS (Artificial Intelligence)
[Closed]
Work description
1) Development of workflows and methods enabling AI-powered decision assistants to support full human operators control under risk and model uncertainty, and considering human-AI co-learning. 2) Develop methodologies for assessing the robustness and safety of fully human-operated, AI-assisted human-operated and autonomous systems, considering risk assessment aligned with the EU AI Act, reliability and robustness quantified by providing guidance on how to create and use adversarial datasets. 3) Validate the developed methodologies on real data and open-source simulators for power network use cases. 4) Dissemination of the work in international journals and/or conferences
Minimum profile required
Previous academic background in applied mathematics or computer science or informatics or electrical engineering or similar.
Preference factors
Past experience (or academic background) with supervised and reinforcement learning; Academic background in operations research; Programming knowledge in Python.
Application Period
Since 19 Apr 2023 to 31 May 2023
[Closed]
Centre
Power and Energy Systems