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Job ID: 262461

INESC TEC | Post Doctoral Research Grant (AE2025-0403)
INESC TEC

Research Opportunities

Artificial Intelligence

Work description

Development of workflows and methods enabling AI testing to support the safe operation of local energy communities and microgrids. Develop methodologies for assessing the robustness and safety of AI-based decision and control systems, considering risk assessment aligned with the EU AI Act. Validate the developed methodologies on real data and with real consumers/prosumers. Dissemination of the work in international journals and/or conferences.

Minimum profile required

Previous academic background in or electrical engineering or applied mathematics or computer science or informatics or similar.

Preference factors

Past experience (or academic background) with machine learning. Academic background in energy systems. Programming knowledge in Python.

Maintenance stipend: € 1851.00, according to the

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In-brief analysis

September 11, 2025

Data source: Natural Gas Intelligence
Note: Prices are adjusted for inflation based on June 2025 Bureau of Labor Statistics’ Consumer Price Index data.

Monthly average natural gas spot prices in the northwestern United States reached historic lows in 2025, as ample supply from Canada coincided with subdued regional demand for natural gas-fired electricity. At Northwest Sumas, a key pricing hub for natural gas in the U.S. Pacific Northwest, the daily spot price averaged $1.59 per million British thermal units (MMBtu) in 2025 through August and reached its lowest ever monthly average price of $0.56/MMBtu in June, according to data from Natural Gas Intelligence. The monthly average price for the first eight months of this year is the lowest for this period of any year since at least 1999, and it is about

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RITEL projects should advance learning research regarding knowledge about principles, processes and mechanisms of teaching and/or learning in the context of a technology-based innovation. This could include research by learning scientists, education researchers, educational psychologists, and cognitive, behavioral and/or social scientists. For teaching, this could include new teaching processes and approaches (e.g., andragogy and pedagogy), relevant to how the proposed technology will be situated in an educational setting.

This research must lead to generalizable knowledge about learning that is beyond a specific system, application or intervention.

Projects that focus on evaluating the effectiveness of a technology-based system or a curriculum/teaching intervention are not in scope for RITEL. Please also see Q7 “What does RITEL not fund?”

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