Computer Science
[Closed]
Work description
- 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. - 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. - Validate the developed methodologies on real data and open-source simulators for power network use cases. - Dissemination of the work in international journals and/or conferences
Academic Qualifications
Hold a Master's degree in applied mathematics or computer science or informatics or electrical engineering or similar. Master's degree in other scientific-technological areas may be considered if duly justified.
Minimum profile required
- Technically, the candidate should have a demonstrated proficiency in the following points: Linux environment, command line tools, Python language programming and/or R statistical language.- Academic background in Artificial Intelligence, Data Science and/or Operations Research.- Excellent level of English, oral and written.
Preference factors
- Past experience (or academic background) with supervised learning and reinforcement learning. - Publication of scientific papers and presentations (oral communications and posters) in the areas of artificial intelligence, data mining, machine learning or operations research. - Demonstrated experience (e.g. github code, prototypes, scientific papers) in developing machine learning pipelines for analyzing large volumes of data. - Demonstrated experience in developing software applications (e.g. prototypes, software, websites, etc.). - Training in micro-courses and projects (e.g. platforms such as Coursera, Udemy, etc.) in programming, data analysis, machine learning, project management or good software development practices.
Application Period
Since 27 Jul 2023 to 23 Aug 2023
[Closed]
Centre
Artificial Intelligence and Decision Support