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Sd-25089 - Postdoc in Ai Based Energy Management for Energy Communities
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Description
**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.
***:
**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.
**Education**
- A 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
- 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
**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.
Languages English Education Doctorate Experience 2+ years
