COMPUTER SCIENCE
Descrição da oferta de emprego
- Develop methodologies to assess the robustness and safety of AI-assisted human decisions, hybrid AI-human co-learning, and fully autonomous AI, considering risk assessment in line with the EU AI Act, as well as quantified reliability and robustness by providing guidance on how to create and use ‘adversarial’ datasets.
- Validate the methodologies developed on real data and open-source simulators for power grid use cases.
- Disseminate the work in national and international journals and/or conferences Academic Qualifications Degree in Computer Science, Informatics of similar area Minimum profile required Past experience (or academic training) in Artificial Intelligence Algorithms with a focus on traditional machine learning (shallow learning) and deep learning methodologies.
Knowledge of Data Science, including the development of data analysis and visualisation pipelines.
Preference factors - Knowledge of Python programming.
- Development of IT tools for use in real environments.
- Knowledge of simulation methodologies.
Application Period Since 25 Oct to 08 Nov Centre Artificial Intelligence and Decision Support Scientific Advisor Pedro Gabriel Ferreira
Detalhes da oferta
- INESC TEC
- 25/10/2024
- 23/01/2025
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