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SD-25088 – PhD CANDIDATE IN AI BASED ENERGY FORECASTING FOR ENERGY COMMUNITIES

SD-25088 – PhD CANDIDATE IN AI BASED ENERGY FORECASTING FOR ENERGY COMMUNITIES

Temporary contract | 48 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 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.


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:

  • 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.

 

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


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

 

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.

 

PhD additional conditions:

REQUIREDLANGUAGES

To be considered for this position it is crucial that you have knowledge of the following languages
  • Read C1 Advanced
    Write C1 Advanced
    Speak C1 Advanced
minimum required Education
Required work experience in years
0 or more years
Job Category
Details
Employment type
Contract type
Hours per week
40
Contract period
Months
Contract duration
48
Location
Country
City
Esch-Sur-Alzette
Recruiter in charge
Carolina DE LEON
Profile type
Phd Student
UO
ENVIRONMENT (ERIN)
Employment type
Full-Time
Contract Type
Fixed Term contract

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