We are looking for suitable candidates with passion for AI research and education. Priority will be given to candidates with a strong research track record and teaching experience in areas such as Explainable AI, AI for Text mining, NLP and LLMs, and AI robustness and reliability.

Data and AI cluster (DAI)

You will join the team of the Data and Artificial Intelligence cluster. At DAI we study foundations of AI for the present and the future. We design new AI methods, develop 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, fairness, trust, reliability, tractability, scalability, interpretability and explain ability of AI.

Currently, DAI includes six research groups: Uncertainty in AI, Generative AI, Data Mining, Databases, ML for Physical Sciences, and Automated ML. The cluster consists of 3 full professors, 3 associate professors, 12 full-time assistant professors and 7 part-time and adjunct assistant professors affiliated with industry labs including DeepMind, Wayve, TomTom, Oracle labs. The cluster houses 50+ PhD candidates and postdocs, 8 AI Engineers and support staff.

DAI research is regularly published at top AI journals and conferences such as IJCAI, AAAI, ICML, ECMLPKDD, ICDM, NeurIPS, VLDB, and SIGMOD among others. Recently our work was recognized with the best paper awards, including Best Research Paper Award at VLDB 2024, SIGMOD 2023 (Research Highlight Award and Best Industry Paper Award), Best Demo Paper Award of IEEE ICDE 2023, IDA 2023 Runner-up Frontier Prize, Best Paper Award of LoG 2022, and Best Research Paper Award IEEE DSAA 2022 among others. Please refer to https://dai.win.tue.nl/newsitems/ for other highlights.

DAI is active in foundational and application-inspired research supported by NWO, H2020, other funding bodies and industry (ASML, KPN, Philips, TomTom, Rabobank). Example projects can be found at https://dai.win.tue.nl/researchprojects/.

DAI is actively involved in teaching in the Bachelor, Master and postgraduate level education of students in AI, Data Science and Computer Science. An overview of courses can be found at https://dai.win.tue.nl/courses/ and examples of MSc thesis projects at https://dai.win.tue.nl/masterprojects/. We regularly attract many talented students who are interested both research and engineering focused education. Their work receive recognition through publications and university and national level best MSc thesis awards. 

Please do not hesitate to approach members of DAI at ECMLPKDD 2024 and NeurIPS 2024 to discuss our research, education and working environment.

• Motivated researcher with a PhD in machine learning, data mining, or other relevant field.
• Ability to conduct high-quality academic research reflected in demonstratable outputs.
• Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills.
• Strong cooperation skills.
• Effective communication and leadership skills, including coaching and mentoring of students and staff, leading a project or chairing a group.
• Excellent (written and verbal) proficiency in English. 

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• An 18-month contract as Assistant Professor which can become permanent after 12 months on the same employment level upon successful evaluation.
• The opportunity to focus your career on education, research and/or impact. You can develop your personal ambitions and objections within the strategic objectives of the university.
• As an Irène Curie Fellow, you are entitled to a substantial start-up package to kick-off your career.  
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 11 (min. €4492, max. €6148 gross per month).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
• High-quality training programs for academic leadership and teaching.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.