PostDoc Researcher in Digital Power and Energy Systems (V36.3474)

PostDoc Researcher in Digital Power and Energy Systems

Aanstellingsfunctie(s)
(Postdoctoraal) onderzoeker
Faculteit(en)
Faculteit Electrical Engineering
FTE
1,0
Sluitdatum
28/10/2018
Aanvraagnummer
V36.3474

Functieomschrijving

The department of Electrical Energy Systems at the faculty of Electrical Engineering, Eindhoven University of Technology is currently accepting applications for a 2-year post-doctoral researcher position in the area of digital power and energy systems. The researcher will contribute to various projects including OPZuid Smart Energy management, TKI Toeslag PQ in control, and TKI Toeslag UNICORN. 

The recent EU Climate and Energy Package (“the Winter Package”) includes local energy communities (LECs) as a way to tackle the complexity of energy system integration (ESI) across multiple pathways and geographical scales to deliver reliable, cost-effective energy services. The energy infrastructure needs to evolve in order to utilize the flexibility potential of LECs to decrease peak-load consumption while improving energy efficiency and resiliency. Therefore, development of self-management schemes for LECs involving detection of flexibility in usage data, coordination software methods for congestion management and Power Quality control is needed. The postdoc candidate is expected to conduct research into the three topics above to strengthen technological capabilities of local energy communities. A particular focus is on the TU/e campus network as a self-regulated microgrid. Candidates should have a solid background in power engineering or smart grids, especially in distribution networks. Experience in advanced control solution for power electronic interfaces and/or Information and Communication Technology would be highly appreciated. Research activities will be conducted in a close collaboration with Alliander, TNO, DNV GL, 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.
  • Proven team-working capabilities and communication skills; Ability to work independently under supervision of senior university staff.
  • Ability to represent the University and TUe project teams in outside contacts, e.g. with industry partners.
  • Experience in supervising MSc-level students and the capability to expand towards supervising PhD students.
  • Willingness to start as soon as possible

Arbeidsvoorwaarden

We offer an exciting job in the group Electrical Energy Systems of the Eindhoven University of Technology:

  • A full time appointment for 2 years at Eindhoven University of Technology http://www.tue.nl/en/ .
  • Gross monthly salaries and conditions are in accordance with the Collective Labor Agreement of the Dutch Universities (CAO NU), scale 10, depending on your experience.
  • Interesting cooperation with the high-tech industry in- and outside The Netherlands.
  • An attractive package of benefits, including end-of-year allowance, and excellent sport facilities.

More information on employment conditions can be found here: http://www.tue.nl/en/university/working-at-tue/working-conditions/ .

Informatie en sollicitatie

Information
For more specific information about this position please contact:
dr. Phuong Nguyen (P.Nguyen.Hong@tue.nl).

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.