Electrical Engineering, Mathematics & Computer Science (EEMCS)

Research Themes for Delft Technology Fellowship 2023-2024

Electrical Sustainable Energy

In the Electrical Sustainable Energy department research is focused on large-scale implementation of renewable energy sources (RES) by developing new technologies for electricity generation from RES, such as photovoltaic and wind technology, and components that make the coupling of electricity from RES into existing grid possible, such as cables for direct current (DC), inverters and charge controllers. At the same time, study and design of a sustainable electrical system of the future is carried out with increasing utilization of digital technologies.
The DelftTF positions are aimed at strengthening the sector plan ESE focus research areas, which are:

  • Microgrid components and networks
  • Digital power systems

The more detailed description of specific areas that the ESE department aims to strengthen is below:

Quantum and Computer Engineering

The department of Quantum and Computer Engineering (QCE) is one of the six departments in the faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at Delft University of Technology. The QCE department research focuses on Computer and Network Architectures, with the ambition to keep its role as one of the top European research groups and to become one of the top research groups worldwide.


The Department of Microelectronics has a strong research and education program focusing on microelectronics, microfabrication, signal processing, radar, and microwave systems. The department's activities are highly multi-disciplinary, involving innovative combinations of device physics, material science, and chemistry, on the one hand, with signal processing, circuit, and system design, on the other. They are also multi-disciplinary about their scope of applications, as they play a crucial role in nearly all fields of innovation, ranging from advanced health care to telecommunications and smart grids. With a faculty consisting of 11 IEEE Fellows, excellent infrastructure, and a strong international academic and industrial network, the department is well equipped to conduct world-leading research.
The research of the department is focused on three main research themes: Health and Well-Being, Next-Generation Communication and Sensing, and Autonomous sensor systems. In the upcoming DelftTF round, the department is seeking candidates interested in contributing to the Next-Generation Communication and Sensing, and the Autonomous Sensor Systems themes.


Research in Mathematics at Delft Institute of Applied Mathematics, DIAM, centres around the five research themes listed below. These connect closely to growing needs for mathematics in engineering disciplines and pose mathematically challenging problems. They are also prominently represented in our BSc and MSc programmes, our contributions to the national educational programmes as well as in the minor programmes offered by DIAM: Computational Science and Engineering and Finance.

Computer Science

Computer Science at the Delft University of Technology (TU Delft) is the largest academic computer science (CS) research organization in the Netherlands. It is organized in two departments, Intelligent Systems and Software Technology, and addresses a plethora of scientific challenges related to the ongoing data- and AI-induced transformation of the society. We strive towards scientific excellence in the core computer science disciplines as well as in interdisciplinary research in our target societal sectors to help maximize the positive impact of this transformation on the society while mitigating the risks. In addition we provide rigorous, research-inspired engineering education in computer science to meet the increasing societal demand for socially responsible CS engineers and to help the CS education of all engineers. We also strive towards contributing to an international academic culture that is open, diverse and inclusive, and that offers openly available knowledge.

Our research profile is defined by the following main themes: