Sd-25088 - Phd Candidate in Ai Based Energy Forecasting for Energy Communities

**Temporary contract | 48 months | Belvaux**:
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**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 SmartCore project, funded by the EU Interreg SWE program, in collaboration with research institutions and industrial partners around Europe.

The **SmartCore** project aims to increase the share of renewable energy (RES) in NWE by providing integral energy management capabilities to NWE Energy Communities (ECs). These capabilities will help 6 existing EC’s (2NL, BE, FR, LU, IE) to organise and improve their collective RES production and consumption, enhancing RES integration in the energy mix. Developing Smart Community-Owned Renewable Energy (SmartCORE) capabilities in varying contexts is crucial to de-risk and support further RES investments in NWE.

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**How will you contribute?**:
You will be mainly in charge of:

- Studying Energy Management Systems (EMS) for Energy Communities (ECs) and flexibility management tools, while analyzing potential business models for fostering energy independence.
- Analysing ECs ontologies to design suitable data spaces that effectively support activities, services and transactions within ECs.
- Deploying a prototype of a digital platform for intelligent operation of ECs, with validation within a real pilot in Luxembourg.
- Developing intelligent tools for monitoring, prediction, optimization, and analysis, with remarkable use of advanced AI/ML methodologies that ensure knowledge transfer, explainability, and scalability of the proposed solutions.
- Optimizing the integration of electrical and thermal vectors within ECs through the flexibility provided by battery systems and the thermal processing and storage.
- Validating developments on a real pilot in Luxembourg, and disseminating the results through scientific journals and conferences.

**Education**
- A Master’s degree in electrical engineering, computer science, energy systems, or a related discipline.

**Experience and skills**
- Proficiency in developing cloud-based systems, e.g. in AWS.
- Proficiency in programming languages such as Python, Pytorch, HyperSim.
- Solid background electrical systems operation and markets
- Practical knowledge on AI/ML techniques.
- 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