The Uncertainty in Artificial Intelligence (UAI) group (https://uai.win.tue.nl) is a quickly growing group embedded in the Data and AI cluster at the Eindhoven University of Technology (https://dai.win.tue.nl). In the cluster, we aim 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. We seek a postdoctoral researcher to enhance our strengths in research and education. The successful candidate will work with topics related to theoretical AI and machine learning, and will play a significant role in the NWO Perspectief Project Personalized Oncology (https://www.nwo.nl/en/researchprogrammes/perspectief/perspectief-grants/person-explainable-maintainable-and-trustworthy-decision-support-systems-personalised-care-oncology), involving decision support systems for better personalized care. There will be opportunities for collaboration with multiple researchers inside and outside the university. The successful candidate will also contribute to educational tasks of the group, including the involvement in advanced courses in AI and machine learning, as well as (co-)supervision of students in all levels.
Research topics of interest include (but are not limited to):
We look for a motivated and highly skilled candidate with:
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:
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Cassio P. de Campos, c.decampos[[at]tue.nl.
Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.MCS[at]tue.nl.
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We look forward to receiving your application and will screen and process it as soon as possible. The vacancy may close at any time if the position is filled.