TU/e is a highly ranked university in both research and teaching. The basic and the application-inspired research are equally valued here. TU/e is often ranked exceptionally high based on scientific co-publications with industry and the impact of its scientific research. 

TU/e has identified Artificial Intelligence (AI) as one of the key multi-disciplinary research opportunities in the taskforce TU/e 2030. Various research groups at Computer Science, Electrical Engineering, Mechanical Engineering and other departments of TU/e have been active and visible within the area of AI and its applications. There is an ongoing initiative at both the university level and the faculty level to strengthen our AI research and AI education.

The department of Computer Science is looking for two Assistant  /Associate  Professors in Artificial Intelligence who have an ambition to build their own research groups in AI.

Your profile:
We search for top candidates in all areas of AI, including but not limited to deep learning, symbolic AI, Ubiquitous AI, Explainable and responsible AI, AI with human in the loop as well as subareas targeting specific applications in healthcare, robotics, education or sciences. 

The precise research focus will be left to you, and your personal research interests and preferences.

As a newly appointed faculty member, you will start in the Data mining group with support to grow your own AI group. Next to your research quality, your educational skills are very important since we expect you to develop and teach AI courses at all levels.

However, in the first years of employment, your teaching duties will be reduced to 30% leaving 70% of your time for research, developing collaboration with other research groups and industry, and building your own research group.

The candidate is expected to have the following qualifications:

A PhD degree in AI, machine learning, or other relevant areas in computer science,

Publications in top journals and conferences.

Excellent communication, organization and leadership skills demonstrating the potential of building an own research group.

Strong cooperation skills and ability to work in a team; successful candidates are expected to collaborate with colleagues in other fields of Computer Science, as well as with colleagues from other faculties working on AI applications.

A successful candidate is expected to have a clear vision on education, and to consider teaching equally important as research. Excellent skills in developing and teaching academic courses (preferably in AI, machine learning, data mining) are essential.

A successful candidate at the Associate Professor level is expected to have an international academic reputation in a well-defined or an emerging area of Artificial Intelligence.

We offer:

a challenging job in a dynamic and ambitious university;

a tenure track appointment for a period of five years;

a start package including reduction of teaching load from 50% to 30%;

a salary depending on your experience and according to Dutch CAO (a starting salary of assistant professor is €3.475);

a yearly holiday allowance of 8% of the yearly salary;

a yearly end year allowance of 8.3% of the yearly salary;

a broad, attractive package of fringe benefits (including an excellent technical infrastructure, child care, and excellent sports facilities).