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  2. Technische Universiteit Eindhoven
  3. PhD Researcher in neighborhood energy and data management integration system

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PhD Researcher in neighborhood energy and data management integration system

The department of Electrical Energy Systems at the faculty of Electrical Engineering, Eindhoven University of Technology is currently accepting applications …

2 maanden geleden

Arbeidsvoorwaarden

Standplaats:
de Rondom, Eindhoven, Noord-Brabant
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
Opleidingsniveau:
WO

Functieomschrijving

The department of Electrical Energy Systems at the faculty of Electrical Engineering, Eindhoven University of Technology is currently accepting applications for a PhD candidate in the area of neighborhood energy and data management integration system. The researcher will contribute to project S&B NEDMIS (Using small data and big data: Neighborhood Energy & Data Management Integration System) under the NWO program ESI-bida.

The PhD candidate is expected to conduct research into machine learning techniques with a particular focus on data set collected from smart meters and DA-Li boxes from Enexis, one of the biggest Dutch distribution system operator (DSO). Besides an adequate electrical power engineering background, experience in data analytics, especially deep and/or reinforcement learning would be highly appreciated. Research activities will be conducted in a close collaboration with CWI, Enexis, and other industry partners.

Functie-eisen

Qualifications:

Candidates for this position should have a PhD degree in Electrical Power (Energy) Systems or a related field.
  • Solid knowledge of electrical distribution networks, especially in relevant topics of demand response, power quality, power electronic interfaces e.g. solar PV inverters, signal processing, etc.;
  • Excellent relevant modeling skills in Matlab/Simulink and/or Python; Experience with software simulation tools for power flow calculations, e.g. Vision or PowerFactory;
  • Strong competence in data analytics, machine learning;
  • Willingness to start as soon as possible;

  • Arbeidsvoorwaarden

    We offer a fixed-term, 4 year position in a research group with an excellent reputation. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, including:
  • A gross monthly salary between EUR 2266,- (first year) and EUR 2897- (last year).
  • Additionally, 8% holiday and 8.3% end-of-year annual supplements.
  • A minimum of 41 holidays per year (excluding bank holidays, for a full-time employment of 40 hrs/week)
  • Additional benefits, including excellent technical infrastructure, child care, holiday savings schemes, and sports facilities.
  • Assistance for finding accommodation is offered.
  • Personal development program aimed to develop your social and communication skills (see www.tue.nl/PROOF3TU).
  • Additionele informatie

    Information
  • For more information about the project and any informal enquiries, please contact dr. Phuong Nguyen (P.Nguyen.Hong@tue.nl)
  • For more information on working at the TU/e and employment conditions, see https://www.tue.nl/universiteit/werken-bij-de-tue/ or contact Mrs. Tanja van Waterschoot, HR Officer t.a.m.v.waterschoot@tue.nl .
  • More information on employment conditions can be found here: www.tue.nl/en/university/working-at-tue/working-conditions/ .

  • Application

    If interested, please use 'apply now'-button at the top of this page. You should upload the following:
  • a detailed curriculum vitae, a letter of motivation and portfolio with relevant work;
  • a cover letter explaining your motivation and suitability for the position;
  • a detailed Curriculum Vitae (including a list of publications and key achievements in research project(s));
  • contact information of two references;
  • copies of diplomas with course grades;

  • Candidates will be selected based on graduation mark and proficiency at university including consideration of the reputation of the university, relevant experience and skills, writing skills and publications, work experience as well as performance in relevant modeling exercises and interviews.


    Please keep in mind; you can upload only 5 documents up to 2 MB each.