We welcome excellent candidates that can contribute to starting a new research direction or to joining any of the current research areas of the Data and AI Cluster (DAI).
Applicants for an associate rank may suggest how they see their group to be composed and whether they have in mind some suitable candidates to join their group.
Data and AI Cluster (DAI)
DAI aims at developing foundations of AI for the present and the future. This includes the design of new AI methods, development of AI algorithms and tools with a view at expanding the reach of AI and its generalization abilities. In particular, we study foundational issues of robustness, safety, trust, reliability, tractability, scalability, interpretability and explainability of AI. DAI’s research is regularly published at top AI journals and conferences such as IJCAI, AAAI, ICML, ECMLPKDD, ICDM, NeurIPS, VLDB, and SIGMOD among others.
DAI actively collaborates with industry (Philips Research, KPN, Rabobank, Achmea) through multiple co-funded PhD projects. Each academic year DAI attracts 60+ excellent MSc students for their internships and final thesis projects, many of which are done in collaboration with industry and other departments.
DAI is responsible for teaching the core data science and AI courses at BSc and MSc levels, including traditional courses such as Foundations of AI, Foundations of Data Mining, Deep Learning, Uncertainty Representation and Reasoning, Generative Models, as well as challenge-based education such as Data Challenges.
Successful candidates are expected to contribute to teaching by developing new courses starting already from the academic year 2020-2021.
Currently, DAI includes three research groups: Uncertainty in AI, Data Mining, and Databases. Successful candidates at the full professor and associate professor level are expected to start a new group within the Data and AI cluster. Assistant professors follow the development track leading to a tenured position and starting their own research groups. There is also an opportunity to get a part-time appointment in one of the industry labs collaborating with TU/e.
Department of Mathematics and Computer Science
With over 100 (assistant, associate and full) professors, almost 200 PhD and PDEng students, about 1100 Bachelor students and 600 Master students, the Department of Mathematics and Computer Science (M&CS) is one of the largest departments of the TU/e. By performing top-level fundamental and applied research, and maintaining strong ties with industry, M&CS aims to contribute to science and to innovation in and beyond the region. This is reflected in a rich portfolio of projects and grants that our professors attract (including ERC and national level personal grants, H2020, NWO, and industry co-funded projects). M&CS is offering high-quality educational programs including multiple Bachelor and Master programs, all fully taught in English, including a full Data Science curriculum and a new Data Science and AI MSc program.
The department’s relationship with the high-tech industry in the Brainport region means that interested staff and students can contribute directly to the development of technological innovations with real-world relevance. The department has produced a number of successful spin-offs, and participates in many national and international research consortia.
Artificial Intelligence: ambition meets opportunity in Eindhoven
TU Eindhoven (TU/e) has identified AI as one of the key multidisciplinary research opportunities in its Strategy 2030. There is an ongoing initiative at both university and department level to strengthen our AI research and AI education. TU/e has set aside significant funds to achieve its ambitions (100+MEuro at the university level through the Eindhoven Artificial Intelligence Systems Institute).
TU Eindhoven (TU/e) is a mid-size technical university located in the heart of the high-tech industry in the Netherlands, named the Brainport region. TU/e is a highly ranked university both in research and education. Our training and research programs are highly regarded and we foster close relationships with companies, organizations and research institutes in the Brainport region and beyond. Both theoretical and applied research are equally valued here. The high rank of the TU/e is due to the impact of our scientific research and productive collaboration (e.g. in terms of joint research projects and publications) with industry. TU/e is a social and inspiring university with a fine culture. You will quickly feel at home, surrounded by people who share your scientific ambitions. The TU/e currently has nine departments, with over 11,000 students in total. The unique positioning in one of Europe’s leading tech regions also means excellent job opportunities for partners of successful candidates. TU/e actively facilitates such career opportunities. Eligible candidates will be considered for the Irène Curie Fellowship award.
Eindhoven is the fifth largest city in the Netherlands, and including suburbs it has about 420,000 inhabitants. The city of Eindhoven offers a relaxed, multicultural environment, high quality of life and many options for extra-curricular activities. The city has a mild climate, and it is well-connected by rail, air, and road links with major European cities, and offers the best of the Dutch cuisine. The city is at the heart of the Brainport region of Netherlands, a region with high growth, high innovation, and many permanent employment opportunities for expats. English is often used for common life activities.
We seek to appoint an assistant or associate professor in AI who is passionate about research as well as teaching. We welcome excellent candidates that can contribute to any of our current AI areas. The working language in the department and across the university is English.
An important aspect of TU/e’s vision on education is that research and education go hand in hand, both at Bachelor and Master level. Next to your research, education is an important part of your job. The TU/e helps its scientific staff to further develop their teaching skills by offering a training program that leads to an official teaching certification from Dutch Universities (Basic Teaching Qualification).
Furthermore, we require:
The department has an attractive starting package for its new faculty members. Candidates moving to the Netherlands from abroad may qualify for a tax incentive scheme, where 30% of your income is tax free for a (maximum) period of five years. Click here for more information.
Further information with respect to the position can be obtained from prof.dr. Mykola Pechenizkiy, m.pechenizkiy[at]tue.nl.
For information concerning employment conditions click here or contact Elly van den Eertwegh MSc, Recruiter, e.a.m.v.d.eertwegh[at]tue.nl, +31 6 39186476. Applicants will begin to be screened immediately. We are committed to the cause of gender equality and, in case of equal suitability, we give preference to female candidates.
How to apply
If you are interested in the position, and would like to apply, please send us your application by using the 'apply now' button on this page. Your application must contain the following documents:
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