Research Opportunity
Energy
Work description
- Implementation of human-AI-digital twin interaction strategies
- Explore methodologies for digital twin simulation for artificial intelligence algorithms
- Prepare technical documentation in GitHub
Academic Qualifications
Studies in electrical and computer engineering or informatics or similar
Minimum profile required
Knowledge of Python programming
Preference factors
- Fluency in English (spoken and written)
- Knowledge of power systems operation
- Experience in developing and testing software modules
Application Period
Since 29 Feb 2024 to 27 Mar 2024
Centre
Power and Energy Systems
>
Scientific Advisor
Ricardo Jorge Bessa
For more information: https://www.inesctec.pt/en/opportunities/energy-AE2024-0096