SD-25236 – POST DOC IN AI FOR ENERGY VALIDATIONS USING REAL TIME SIMULATOR

The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.

You will join the Intelligent and Clean Energy Systems (ICES) research unit at the Luxembourg Institute of Science and Technology (LIST) and will actively contribute to the FlexEdge project, funded by the National Research Fund, in collaboration with University of Oxford and Imperial College London.

FlexEdge focuses on designing and nationally integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid-edge flexibility while incentivizing grid-edge device owners for the power system value of their flexibility and data. These methods will be supported by a novel computing architecture addressing domain-specific challenges in deploying distributed AI for power system control.

The outcomes will be invaluable to electricity system operators, flexibility aggregators, and the broader energy research community. The project will include national case studies for Great Britain and Luxembourg to quantify the value of these innovations and provide policy recommendations for market reforms to unlock additional value.

Do you want to know more about LIST? Check our website: https://www.list.lu/

Your LIST benefits

• An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
• Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
• Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
• An environment encouraging curiosity, innovation and entrepreneurship in all areas
• Personalized learning programme to foster our staff’s soft and technical skills
• Multicultural and international work environment with more than 50 nationalities represented in our workforce
• Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
• Gender-friendly environment with multiple actions to attract, develop and retain women in science
• 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
• Flexible working hours, home working policy and access to lunch vouchers
• A dynamic research environment at the forefront of energy systems innovation.
• Access to state-of-the-art facilities, including the ICES RT-HIL simulation laboratory.
• Collaboration opportunities with leading researchers (University of Oxford and Imperial College London) and industry partners in the FlexEdge project and beyond

Temporary contract | 36 months | Belvaux Are you passionate about research? So are we! Come and join us

How will you contribute?

You will be mainly in charge of:

• Co-simulation energy markets operation and power grids operation in real-time
• Working with Real-Time Hardware-in-Loop (RH-HIL) lab facilities and could-edge-based tools/platforms to deploy real-time operation solutions for local/global energy markets
• Deploy service markets to interact with RT-HIL scenarios
• Collaborate with researchers and industry partners to ensure the project’s successful implementation and practical impact
• Support the dissemination of projects results through publications, conferences, and workshops.

Is Your profile described below? Are you our future colleague? Apply now!

Education

• A PhD in electrical engineering, AI, or related field, with a focus on real time hardware in loop (RT-HIL)

Experience and skills

• Hands on real-time hardware-in-loop test and validation
• Experience with cloud-to-edge computing frameworks and their applications in energy systems
• Proficiency in programming languages such as Pytorch/JAX, AWS, HyperSim
• Knowledge of energy market mechanisms and policy considerations is a plus
• Excellent communication skills and the ability to work effectively in a multidisciplinary and collaborative environment

Language skills

• Good level both written and spoken English