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PhD candidate in Energy Systems Integration

The Amsterdam Business School (ABS), part of the Faculty of Economics and Business of the University of Amsterdam (UvA), has a vacancy for a PhD candidate in …

4 maanden geleden


Spui, Amsterdam, Noord-Holland
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
€ 2325 - € 2972 per maand


The Amsterdam Business School (ABS), part of the Faculty of Economics and Business of the University of Amsterdam (UvA), has a vacancy for a PhD candidate in Energy Systems Integration.

This PhD research is part of the Energy Intranets project, an NWO (Netherlands Organisation of Scientific Research) funded project in Energy Systems Integration & Big Data call.

The share of renewable energy sources grows, decentralization of production and control increases. Because of their partly controllable variation in mostly decentral energy generation, balancing the electricity grid matching supply and demand is getting more challenging.

The objective of the Energy Intranets project is to investigate the use of data-driven demand and supply matching in the context of a concrete use case of Sympower, a demand response aggregator that enables smarter energy use by aggregating energy consuming systems and appliances.

The PhD student will work on the application of Big Data and High Performance Computing (HPC) to network optimisation for smart grids, and its impact on business models of various stakeholders. Focus will be on how to combine real-time data and simulation models to predict more reliable as an effective tool for the monetization of the Virtual Power Plants assets.

Important research questions that will be addressed include:

  • How can HPC support making more accurate predictions of production and consumption profiles (aggregated over the micro-grid) at time-scales that would enable a controller to efficiently match demand and supply just-in-time?
  • Can we develop within the microgrid an internal imbalance market that would incentivize an optimal integration of resources and would guide demand response and storage usage?
  • Can we maximize the deployment of renewables, enhance the resilience of the electricity grid, improve the efficiency of the power system and decrease the costs?
  • Is it possible to increase the share of renewables in the mix of energy resources without raising the price of energy, and how would the business model look like?

The research will take place in collaboration with the SURF Open Innovation Lab at SURFsara, providing expertise and facilities on HPC and Big Data analytics.


  • Master’s degree in the area of informatics, data science, or business administration with excellent grades and a demonstrable interest in ICT, simulation and modelling, cognitive science and/or business analytics;
  • well-developed analytical skills, creativity, precision, and perseverance;
  • entrepreneurial spirit and interest in business modelling;
  • the drive to publish in top-level academic journals in the field of energy and management;
  • mastery of both written and spoken English.


You will be appointed for an initial period of 18 months with a possibility to extend it for another 2,5 years, pending positive evaluation. As part of your contract, you will spend 20% of your time on teaching. You will be classified as PhD candidate (promovendus) in the Dutch University job-ranking system (UFO), providing a gross monthly starting salary of €2,325 to €2,972 gross per month in the first year (which increases to €2.840 in the final year) with an additional end-of-year bonus (8,3%) and holiday allowance (8%). The Collective Labour Agreement of Dutch Universities (Cao) is applicable.

Additional information

For further information you may contact:

You may send your CV and a covering letter before 15 March 2019 via this link. Please include job reference number 19-084.