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Universidad de Alcalá is inviting applications for a full-time Researcher position in the PREDFLEX-CM project, focusing on smart electrical grids, distributed energy resources, and AI-based forecasting. The successful candidate will join the Department of Signal Theory and Communications and contribute to cutting-edge energy research.
Responsibilities include modelling, simulation, and development of digital twins, with emphasis on energy markets coordination and real-time validation platforms.
Organisation/Company Universidad de Alcalá Research Field Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 28 Oct 2026 - 23:23 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 15 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2025/00005/001/106 Is the Job related to staff position within a Research Infrastructure? No
The University of Alcalá (UAH) invites applications for one full-time Researcher position within the research project PREDFLEX-CM: Programme for Digital, Stable and Flexible Electrical Grids (TEC-2024/ECO-287), funded by the Community of Madrid.
The successful candidate will join the Department of Signal Theory and Communications at the Polytechnic School of the University of Alcalá and contribute to research on smart electrical grids, distributed energy resources, renewable energy integration, energy flexibility and artificial intelligence.
The main responsibilities include:
Employment conditions:
Applications must be submitted electronically through the University of Alcalá's official recruitment system, under call reference 2025/00005/001/106.
Candidates must provide proof of identity, evidence of the required academic qualification, a curriculum vitae and supporting documentation demonstrating their merits.
The University of Alcalá is committed to equal opportunities and non-discrimination in recruitment.