Smart Grids Researcher: AI, Forecasting & Digital Twins

Universidad de Alcalá; España; On-site; EUR 22,000 - 26,000; Full time

Job summary

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.

Qualifications

• Bachelor's degree in Electrical Engineering.
• Experience with smart grids and distributed energy resources.
• Experience with AI/ML for energy forecasting.
• Strong mathematical and programming skills.

Responsibilities

• Model and simulate smart grids and distributed energy resources.
• Develop energy forecasting and optimization algorithms using AI/ML.
• Implement flexibility management strategies and participate in energy markets.
• Develop and validate digital twins and energy control systems with IEC 61850 and HIL.

Skills

Modelling

Simulation

AI/ML forecasting

Optimization

Education

Bachelor's degree in Electrical Engineering

Tools

IEC 61850

HIL platforms

Digital twins

Energy management systems

Job description

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.