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Postdoc Job – Advanced Computational Methods for Electricity, Power System Planning – TU Delft

Delft University of Technology (TU Delft), The Netherlands

Delft University of Technology (TU Delft), invites applications for a Postdoctoral position in power system planning as part of the HEPPIE project (Heuristic Efficient Proxy-based Planning of Integrated Energy Systems), performed jointly between TU Delft and RTE, the French Transmission System Operator, Intelligent Electrical Power Grids (IEPG) research group, The Netherlands – Nov 2021

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General Info

Position: Postdoctoral Position
No. of Positions: 1
Research Field: , , , , ,
Deadline to Apply: Expired
Joining Date: Mar 15, 2022
Contract Period: 2 Years
Salary: According to Standard Norms

Workplace:
Department of Electrical Sustainable Energy
Intelligent Electrical Power Grids (IEPG) research group
Delft University of Technology (TU Delft)

Delft, ,

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Qualification Details

Essential job requirements:

  • Completed a PhD degree in a relevant subject or submitted an approved PhD thesis by the starting date.
  • Excellent academic record, demonstrated by grades (where applicable) and high-quality published work (thesis, papers, …).
  • Very good command of spoken and written English (minimum CEFR C1 or equivalent)
  • Ability to synthesise knowledge from a range of disciplines and present research findings in a clear and structured manner.
  • Good working knowledge of optimization methods, machine learning and statistics. You can read and critically analyse papers in these domains.
  • Scientific programming experience; you write modular code with re-use in mind.
  • Affinity with the energy transition; you are aware of the challenges in investment planning.
  • You enjoy doing research. You are independent, self-motivated and eager to learn. You like sharing your knowledge with others.

Desirables:

  • You have experience working with Python and its machine learning libraries.
  • You have experience with open source software development and open data.
  • You have expertise in the domain of power system planning.
  • Demonstrable interest in interdisciplinary and intersectoral research, and specifically the interface between energy systems, computer science and control.

Responsibilities/Job Description

The energy system, and the electricity transmission system in particular, is changing rapidly, and the future trajectory has large uncertainties. Yet, investments in infrastructure cost billions, take years to build, and and will influence the system for decades to come.  The challenge addressed by this project is the need to identify near-optimal investment options, considering: operational risks (keeping the lights on), future uncertainty (long-term risk management), increasing integration of different energy systems, planned by different actors. Such planning problems result in large conceptual and computational challenges.

Supported by academics in the IEPG group (Dr. Simon Tindemans, Dr. Milos Cvetkovic and Prof. Han La Poutré) and by the RTE R&D department, you will work on the following research areas:

  • Inventorising current research directions (literature research)
  • Development and use of sample-based proxies/emulators to embed operational constraints in planning problems.
  • Automatic identification of binding system constraints.
  • Heuristic optimisation of investment options.

The envisioned approach combines AI, formal optimization and simulation methods to tackle this challenge. The methodological approach is expected to evolve according to early project findings and the candidate's skill set. You will be expected to present your progress in regular project meetings, and disseminate results through publications, presentations and open access code/data.

The anticipated start date is on or before 15 March 2022.

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: TUD01654
(If any, use it in the necessary place)

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Documents Required

To be considered for this position, please submit before November 28, 2021 your application via the TU Delft online recruitment system. In your application, include the following:

  • Cover letter that describes your motivation and fit with the job requirements. Please also indicate the date of your earliest availability. The letter may be addressed to the selection committee: Prof. Han La Poutré, Dr. Milos Cvetkovic and Dr. Simon Tindemans.
  • CV
  • List of publications (including PhD thesis, if published) with publicly accessible links. Please highlight publications that are most relevant for this position. This can be included as part of your CV.
  • Transcripts of courses taken during your PhD (if applicable) and of your MSc degree

Incomplete applications will not be considered. For further information about the application procedure, please contact Ms. Carla Jager, https://www.tudelft.nl/staff/c.p.jager/

  • A pre-employment screening can be part of the selection procedure.
  • You can apply online. We will not process applications sent by email and/or post.
  • Acquisition in response to this vacancy is not appreciated.

About the Department

The research in the Department of Electrical Sustainable Energy is inspired by the technical, scientific and societal challenges originating from the transition towards a more sustainable society and focuses on three areas:

DC Systems, Energy Conversion and Storage (DCE&S) Photovoltaic Materials and Devices (PVMD) Intelligent Electrical Power Grids (IEPG)

The Electrical Sustainable Energy Department provides expertise in each of these areas throughout the entire energy system chain. The department owns a large ESP laboratory assembling High Voltage testing, DC Grids testing environment and large RTDS that is actively used for real time simulation of future electrical power systems, AC and DC protection and wide area monitoring and protection.

The Intelligent Electrical Power Grid (IEPG) group, headed by Professor Peter Palensky, works on the future of our power system. The goal is to generate, transmit and use electrical energy in a highly reliable, efficient, stable, clean, affordable, and safe way. IEPG integrates new power technologies and smart controls, which interact with other systems and allow for more distributed and variable generation.

About the Faculty

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

About the Employer:

Conditions of Employment

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.

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Contact details

For more information about this vacancy, please contact Dr. Simon Tindemans, https://www.tudelft.nl/staff/s.h.tindemans/

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