RSS feed source: National Science Foundation

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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RSS feed source: National Science Foundation

Job ID: 262316

INESC TEC | Technical Staff (AE2025-0393)
INESC TEC

Opportunities

Software Engineering and API Development for Power Systems

Work description

The work focuses on the development and integration of software components within the NEXUS project. Core activities include the design and implementation of APIs for several tools, such as grid operation, load forecasting, PV and wind forecasting, and load simulator.

The tasks also cover server deployment, the development of an intuitive and dynamic dashboard, and ensuring seamless interaction between the APIs and the NEXUS platform. The activities also include coordinating the work with the in-fabric software team of the Centre for Power and Energy Systems (CPES). Additionally, the role involves simulation, testing, and validation, as well as preparing technical documentation, reports, and scientific publications.

Academic Qualifications

Electrical engineering, computer

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RSS feed source: National Science Foundation

Job ID: 262317

INESC TEC | Post Doctoral Research Grant (AE2025-0395)
INESC TEC

Research Opportunities

Power Systems – Hybrid AC/DC Distribution grids

Work description

Survey of the state of the art regarding dynamic and steady-state analysis of AC/DC hybrid distribution networks and microgrids. Survey of the state of the art regarding protection, islanding operation, and service restoration in AC/DC hybrid distribution networks and microgrids. Identification of use cases for hybrid AC/DC distribution networks and assessment of the technical challenges in the addressed aspects that are still unresolved according to the current state of the art. Development of innovative technical and scientific solutions to address the challenges identified for the use cases from the previous point, using computational simulation. Contribute to the development of toolboxes for computational simulation, specifically designed for DC

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