Publisher
source

Luxembourg Institute of Science and Technology

Postdoc in AI-Based Energy Management for Energy Communities Luxembourg Institute of Science and Technology in Luxembourg

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Dec 31, 2026

Country flag

Country

Luxembourg

University

Luxembourg Institute of Science and Technology

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

More information can be found here

Keywords

Computer Science
Environmental Science
Electrical Engineering
Artificial Intelligence
Energy Engineering
Digital Twin Technology
Internet Of Things
Electric Vehicle
Demand Response
Optimisation
Power System
Distributed Energy

Suggested positions

About this position

Postdoc in AI-Based Energy Management for Energy Communities at the Luxembourg Institute of Science and Technology (LIST), in Belvaux/Esch-Belval, Luxembourg.

This full-time temporary postdoctoral position (24 months) is part of the EnerTEF project funded by Horizon Europe. The role sits within LIST’s Intelligent and Clean Energy Systems (ICES) research unit and focuses on the development and validation of AI-based solutions for energy communities, EV charging, distributed energy resources, and flexible energy systems.

The successful candidate will work with real-time simulators (OPAL-RT), hardware-in-the-loop (HIL) methods, and rapid prototyping tools (dSPACE) to test and validate intelligent control and optimization approaches in complex operation environments. The work also involves IoT devices, meters, controllers, and IEDs to manage real-time data from the edge level, and integrating AI solutions with energy management systems (EMS) to improve interactions between distributed energy resources and EV charging infrastructure.

The project aims to support a common federated AI testing and experimentation facility for the energy sector, contributing to grid flexibility, renewable energy integration, demand response, storage, and digital twin-based experimentation. Findings are expected to be disseminated through publications, presentations, and contributions to the EnerTEF project and its industrial and academic partners across Europe.

Applicants should hold a PhD in electrical engineering, computer science, energy systems, or a related discipline. The profile requested includes hands-on experience with RT-HIL and rapid prototyping, knowledge of communication networks and protocols, familiarity with networked controllers and meters, programming skills in Python/PyTorch/HyperSim, and a background in AI techniques and tools. Strong communication skills and good written and spoken English are required.

Applications must be submitted online via the HR system before 2026-12-31. A motivation letter, scientific CV with contact details, list of publications and patents if applicable, and contact details of two references are required. Email applications will not be considered.

LIST offers a multicultural research environment, access to advanced laboratory infrastructure including the ICES RT-HIL simulation laboratory, and collaboration opportunities with leading researchers and industry partners. The position is supported within a European research framework and is geared toward impactful research in sustainable energy and AI-enabled energy management.

Funding details

Available

What's required

PhD degree in electrical engineering, computer science, energy systems, or a related discipline. Applicants should have hands-on experience with RT-HIL and rapid prototyping tools such as dSPACE and OPAL-RT, a background in communication networks and protocols, familiarity with networked controllers and meters, proficiency in programming languages such as Python, PyTorch, and HyperSim, and a background in AI techniques and tools. Excellent communication skills and the ability to work effectively in a multidisciplinary and collaborative environment are required. Good written and spoken English is required.

How to apply

Apply online through the HR system using the provided application link. Submit a motivation letter, a scientific CV with contact details, a list of publications and patents if applicable, and contact details of 2 references. Applications by email will not be considered.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?