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  3. Full Professor Data-Driven Computational Science

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Full Professor Data-Driven Computational Science

As newly appointed faculty member, you will be working in the Center for Analysis, Scientific Computing and Applications (CASA) of the Department of …

2 maanden geleden


de Rondom, Eindhoven, Noord-Brabant
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur


As newly appointed faculty member, you will be working in the Center for Analysis, Scientific Computing and Applications (CASA) of the Department of Mathematics and Computer Science (M&CS) at Eindhoven University of Technology (TU/e). Besides your research quality, your educational skills are very important. You will contribute to the curricula of the TU/e Department M&CS, for both Mathematics, Computer Science and Data Science, and with a
keen eye on curriculum wishes and needs in combining data- and model-driven approaches in computational science in other TU/e departments.

Computational science is of vital importance to today's and tomorrow's society. It enables the simulation of processes, phenomena and systems that cannot be studied by real experiments, because these are too dangerous, too expensive, unethical, or just technically impossible. Moreover, as opposed to experiments, computational science allows for automatic design and optimization (inverse computations). Within CASA, we propose, analyze, develop and implement new computational techniques and carry these over to among others: energy research
(to offshore wind farm aerodynamics and tokamak plasma dynamics for instance), optics research (for illumination and nanolithography), and quantum and molecular dynamics research.

Traditionally, computational science is model-driven; based on for instance mathematical models of physical laws. Because of the immense growth in the availability of data, computational science is becoming more and more data-driven, with a crucial role in this for machine learning. Promising examples of successful use of machine learning in computational science already exist, for instance recognition of crystal structures by neural networks. Within CASA, in the context of MSc and PhD research, examples are being studied of neural-network technology as components of computational-science setups. The potential of the use of data and machine learning in computational science, in combination with the use of models (first principles), is enormous. An important goal of our new full professorship Data-Driven Computational Science is to further develop machine learning in the context of computational science, bridging data science and computational science; combining data- and model-driven approaches, hand-in-hand with the development of more theory for a rational and trustworthy use of data and machine learning in computational science.

Your responsibilities

  • To develop research on the combined use of data- and model-driven computational science, with as home base CASA;
  • to develop and strengthen links with other researchers and research programs in this area, within the Department M&CS, within TU/e (through the Eindhoven Artificial Intelligence Systems Institute and the Data Science Centre Eindhoven), within The Netherlands, and abroad;
  • to develop, give and coordinate courses on data-driven computational science for the curricula of Mathematics, Computer Science, Data Science and eventually other TU/e programs, and to be responsible for updating these courses;
  • to supervise BSc, MSc and PhD students;
  • to initiate, acquire and coordinate research projects with external funding;
  • to perform organizational tasks for the department.


  • A PhD degree related to the described area;
  • Ample experience in scientific research, as reflected in publications in scientific top journals;
  • International recognition by experts in the field, as reflected by invited lectures at major conferences or renowned institutes;
  • Experience in coaching the research work of others;
  • Experience in initiating research projects and acquiring the necessary funding;
  • Active memberships or positions in relevant academic associations;
  • Working experience at one or more reputable universities or research institutes, as guest researcher or visiting scholar;
  • Teaching expertise on an academic level, preferably in a core position teaching the particular field of study;
  • Proven didactic qualifications and inspiring personality as a teacher;
  • Demonstrable management qualities and willingness to be active in research and/or education management;
  • Motivating and inspiring personality.


  • We provide a meaningful job in a dynamic and ambitious university with the autonomy
    to develop your own research line and participate in the curriculum of the department.
  • You will have free access to high-quality training programs for academic leadership, the university teaching qualification program, research and valorization competences, and
    a dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
  • The salary and benefits are in accordance with the Collective Labor Agreement for Dutch Universities.
  • Additionally, an annual holiday allowance of 8% of the yearly salary, plus an end-of-the-year allowance of 8.3% of the annual salary is included.
  • We offer a broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and 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.

Additional information

Information and application

About us

Eindhoven University of Technology is a top-ranking Dutch university that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and prominent position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for highly complex problems of today and tomorrow.

More information

Questions regarding the scientific content can be directed to prof.dr.ir. Barry Koren,

For information about terms of employment, please contact the recruiter,
Ms. Elly van den Eertwegh, e.a.m.v.d.eertwegh[at]tue.nl or + 31 (0)6 39186476).

Are you inspired to know more about working at TU/e? Please visit www.tue.nl/jobs or look
at our video:


The application should include a:
  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae, including a list of your publications and the contact information of
    three references.
  • List of five self-selected publications.
  • Description of your research interests and plans (1-2 pages).
  • Statement of your teaching vision and experience (1-2 pages).

We are looking forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled, and applications will receive full consideration.