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COMPUTER SCIENCE

Porto de Mós - Leiria

Descrição da oferta de emprego

Development of model/process chains that allow AI-based assistants to support human operators' decisions under risk and model uncertainty, and considering human-AI joint learning.
- 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 4) 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
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Detalhes da oferta

Empresa
  • INESC TEC
Localidade
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 25/10/2024
Data de expiração
  • 23/01/2025
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