Temporary contract | 24 months | Belvaux
Are you passionate about research? So are we! Come and join us
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 EnerTEF project, funded by the Horizon Europe, in collaboration with research institutes and Industrial partners around Europe.
EnerTEF focus on establishing a Common Federated AI Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy resources, demand response, and storage, it aims to enhance grid flexibility and renewable energy use. Through advanced analytics and digital twin environments, EnerTEF delivers innovative solutions for the local energy community.
Do you want to know more about LIST? Check our website: https://www.list.lu/
How will you contribute?
You will be mainly in charge of:
Working with real-time simulators (OPAL-RT) with hardware in the loop functionalities to test and validate AI-based solutions in complex operation environments
Working with rapid prototyping tools (dSPACE) to recreate charging profiles and communication protocols of electrical vehicles
Working with IoT, meters, controllers, IED, etc to manage real-time data from the edge-level to be used as inputs for AI-models
Integrate AI solutions with energy management systems (EMS) to optimize interactions between distributed energy resources (DERs) and EV charging infrastructure.
Disseminate findings through publications, presentations, and contributions to the EnerTEF project.
Is Your profile described below? Are you our future colleague? Apply now!
Education
PhD’s degree in electrical engineering, computer science, energy systems, or a related discipline.
Experience and skills
Hands-on experience with RT-HIL and rapid prototyping (dSPACE and OPAL-RT)
Background in communication networks and protocols
Familiar with networked controllers and meters
Proficiency in programming languages such as Python, Pytorch, HyperSim.
Background in AI techniques and tools
Excellent communication skills and the ability to work effectively in a multidisciplinary and collaborative environment.
Language skills
Good level both written and spoken English
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
Access to state-of-the-art facilities, including the ICES RT-HIL simulation laboratory.
Collaboration opportunities with leading researchers and industry partners in the EnerTEF project and beyond
Apply online
Your application must include:
A motivation letter oriented towards the position and detailing your experience
A scientific CV with contact details
List of publications and patents(if applicable)
Contact details of 2 references
Please apply ONLINE formally through the HR system. Applications by email will not be considered.
Application procedure and conditions
We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.