Utrecht University in the Netherlands invites applications for a PhD position in Energy Systems Optimization in the 2021/22 academic session.
The job opening is for a full time PhD position at the Energy & Resources group of the department of Sustainable Development at the Faculty of Geosciences of Utrecht University. This PhD position is part of a larger research project – Next Generation Sector Coupling Models for Optimal Investments and Operation (NextGenOpt) – which is funded by the Dutch Research Council (NWO) within the Energy System Integration, Towards Futureproof, Affordable and Reliable Energy Systems (ESI-FAR) call.
Accordingly, the candidate will be embedded in an interdisciplinary team consisting of engineers, computer scientists, and mathematicians from TNO, Utrecht University, TU Delft, and industry partners. The candidate will closely cooperate with the other project team members and spend part of the research time at TNO (flexible internship).
Worth of Award
- You will be offered a temporary position (1.0 FTE), initially for 18 months, with an extension to a total of four years upon a successful assessment after 18 months.
- The gross salary ranges between €2,395 in the first year and €3,061 in the fourth year of employment (scale P according to the Collective Labour Agreement Dutch Universities) per month for a full-time employment.
- Salaries are supplemented with a holiday bonus of 8% and a year-end bonus of 8.3% per year. In addition, Utrecht University offers excellent secondary conditions, including an attractive retirement scheme, (partly paid) parental leave and (multiple choice model).
- The ideal candidate should possess excellent programming and mathematical skills, coupled with a good understanding of thermodynamics, energy conversion technologies and energy networks.
- The candidate should therefore have a Master’s degree in Engineering (possibly Chemical, Mechanical, Energy or Electrical), or Applied Physics, with modelling experience.
- Knowledge of mixed-integer linear programming, machine learning, working with large data sets, and languages such as GAMS, AIMMS, Matlab, Julia or Python are a plus.
How to Apply
- To apply, please send your curriculum vitae, an official overview of your Master’s grades, and a letter of motivation via the ‘apply’ button.
- Letter(s) of recommendation are a plus, but not required.
- Please make sure to include a short paragraph about the topic of your Master’s thesis and/or any employment experience that may be relevant for this position.
Deadline: applications close August 31, 2021.