Skip to content  

Werken bij de TU/e

Professor Intelligent Power Grids (full-time) (V36.4105)

Professor Intelligent Power Grids (full-time)

The Department of Electrical Engineering has a vacancy for a full-time Professor Intelligent Power Grids. This vacancy is part of the Irčne Curie Fellowship, and is only open for female candidates in the first six months of recruitment.
Hoogleraar, Universitaire docent, Universitaire hoofddocent
Faculteit Electrical Engineering
Instituten en overigen
Artificial Intelligence


The mission of the Electrical Energy Systems (EES) group is the creation, dissemination and valorisation of knowledge to support the efficient supply and use of electrical energy for a sustainable society. The candidate for this professor position will lead research enabling understanding and development of the know-how and technologies needed to fulfill this mission.

Intelligent Power Grids

The Electrical Energy Systems (EES) group has a strong research line on Intelligent Power Grids (also known as Smart Grids) focusing on methodologies for design and operation of future electricity supply systems, with special emphasis on smart distribution networks and their interaction with higher level grids, energy and ancillary services markets, as well as connected users (prosumers). An intelligent power grid must be self-supporting, self-healing, adaptive and active, inherently secure and stable and fulfilling power quality requirements.

Scientific Domain

A novel paradigm is evolving in the planning and operation of the European electrical energy supply system such that increasing amounts of distributed and renewable energy resources can be integrated. With the implementation of ICT-driven solutions (e.g. distributed intelligence, machine-to-machine communication) and novel market mechanisms and interactions between producers, consumers and grid operators, it becomes possible to increase sustainability while maintaining present levels of reliability and affordability of the power system.  The transition to renewable energy requires technologies that are scalable and inter-operable, to support a smooth deployment around the globe and thus enable also developing regions to apply the newly developed sustainable technologies.

The research field of this professor position implies an integral, “systems” viewpoint, which takes into account the network topology and associated constraints when devising new supply-demand balancing methods that allow for optimal integration of renewable resources. The transition towards (almost) 100% renewable electricity supply systems requires both innovative grid architectures and system operation concepts. To investigate the feasibility and performance of such innovations, lab-based modeling and simulations, supplemented with demonstrations through smart grid pilots are needed. This will lead to the development of modular and scalable, cyber-physical system architectures. Such an approach highlights the interaction between the physical system (electrical network with sources, demands and storage devices), the communication network and a decentralized (agent-based) software system for monitoring, detection, and preventive, corrective and restorative control.

The research includes the application of concepts from the fields of multi-agent systems, multi-criteria optimization and distributed control to emerging grid architectures -- including storage and power-electronics dominated systems -- and smart multi-energy systems. In the area of system operation two major topics are of interest. The first involves distributed control of complex networks: adaptive reconfiguration and control of relevant physical system variables on various time-scales with the goal of ensuring stability of the electrical grid. The second topic relates to efficient energy management systems: creating algorithms and market mechanisms that support the balancing of supply and demand in real-time, taking into account electricity, heat and storage devices, plus the relevant network constraints in each of these domains.

Tasks and profile for this position

The candidate shall demonstrate vision on, and inspiration for the role of electrical energy in a sustainable society as well as an exceptional academic track record in this field. He or she shall further develop the group’s research strategy in the field of smart and sustainable energy systems, taking into account the key role electrical energy plays in both today’s as well as tomorrow’s society.

The candidate shall further develop the existing and initiate new connections with the national and European industry in this field. The candidate shall articulate his or her vision to the industry with a view to valorization of the innovative research developed and demonstrated within EES. The candidate should attract sufficient research funding from national and EU programs to maintain and where possible expand the current number of Ph.D. and Post-doctoral researchers 


  • Ph.D. in Electrical Engineering or Physics, or equivalent
  • Strong expertise in research in the electrical energy field with specific expertise in Intelligent Power Grids, shown by an appropriate number and level of scientific publications
  • Broad experience in the initiation of research projects and acquisition of the required funding from national and EU subsidy programs
  • Experience with education in general and the set-up of academic BSc and MSc education programs in particular
  • Demonstrated educational skills, including supervision of Master and PhD students
  • Experience in management of research projects and preferably management of research groups
  • A strong (international) network in the electrical power engineering research community and related industry
  • A proven track record in initiating and fostering cooperation between academia and the electrical power and energy industry.


  • A challenging job in a dynamic and ambitious university with the autonomy to develop your own research line and participate in the curriculum of the department;
  • A Tenure Track of five years with the prospect of becoming associate professor. After a maximum of 4 years the tenure decision will be made. If you have a more senior profile, you will receive a tailor-made career proposal.
  • As an Irène Curie Fellow, you are entitled to a substantial start-up package to kick-off your career.
  • In order to empower you, we provide support such as training programs for academic leadership and the university teaching qualification and a dedicated mentoring program to help you get to know the university and the Dutch (research) environment
  • Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
  • Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary;
  • A broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, savings schemes).
  • Family friendly initiatives are in place, such as the Dual Career Opportunity program to support accompanying partners, an international spouse program, and excellent on-campus children day care and sports facilities.

Informatie en sollicitatie

More information can be obtained from the link: 

For further information on this vacancy you can contact dr A.J.M. Pemen, e-mail a.j.m.pemen[at]

For information concerning employment conditions click here or contact Stephan Sonnemans, e-mail s.sonnemans[at]

If you are interested in this position, you can only use the 'apply now'-button on this page.

Your application must contain the following documents:

  • A motivation letter
  • A detailed CV
  • A detailed list of publications and achievements
  • A research statement
  • A teaching statement
  • The contact information of two referees

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.

Under European jurisdiction it is lawful to specifically recruit underrepresented groups. If no female candidate is found in the first six months of recruitment, this vacancy will be re-opened as a generic vacancy.