PhD in Probabilistic Machine Learning

WorkplaceEindhoven, South Holland, Netherlands

PhD in Probabilistic Machine Learning

Are you interested in working on foundational issues of robustness and reliability of probabilistic AI? Are you motivated to translate your theoretical results to real-world problems in healthcare? Then come join us as our next PhD-candidate in the Uncertainty in AI group!



Irčne Curie Fellowship



Mathematics and Computer Science



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Job description

The Uncertainty in Artificial Intelligence (UAI) group is a growing group embedded in the Data and AI (DAI) cluster at the Eindhoven University of Technology ( ?" target="_blank" rel="nofollow">?" target="_blank" rel="nofollow"> ). In the DAI 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.

The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of

probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together with the successful candidate and in line with the NWO Perspectief Project Personalised Care in Oncology ( ?" target="_blank" rel="nofollow">?" target="_blank" rel="nofollow"> ). The research topics may include, but are not restricted to:

  • Probabilistic graphical models (Markov, Bayesian, credal networks)
  • Causality: Theory and application
  • Cautious AI, including imprecise probabilities
  • Robust stochastic processes
  • Tractable models and decision-making
  • Online/continual learning with evolving data

Job requirements

  • Master’s degree in Mathematics, Statistics, Computer Science, or a related field
  • Excellent analytical and mathematical skills
  • Affinity with developing theoretical results
  • Excellent algorithmic skills (including realizing it via coding)
  • Excellent academic writing and presentation skills
  • Proficiency in English (written and spoken)
  • Desire to conduct excellent research and publish in high quality conferences and journals
  • Independent thinker and self-responsibility
  • Ability and desire to collaborate and work in teams
  • Ability and desire to support teaching and to co-supervise bachelor and master students

Conditions of employment

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:

  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. ¤2,770 max. ¤3,539).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process .
  • An excellent technical infrastructure, on-campus children’s day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information and application

About us

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.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.


Do you recognize yourself in this profile and would you like to know more information concerning the technical part of the position? Please contact the hiring manager, contact dr. Thomas Krak, .

Visit our website for more information about the application process or the conditions of employment. You can also contact

Are you inspired and would like to know more about working at TU/e? Please visit our career page .


We invite you to submit a complete application by using the apply button.

In your application, please submit

  • A research statement, including research experience and interests, and a short outline of the preferred future research direction (max. 1 page).
  • A CV, including education history, relevant courses and theses, research experience (if available), a list of publications (if available), and teaching experience (if available).
  • Transcript of records for Bachelor’s and Master’s degrees (formal document if available, otherwise a self-declared document with the information).
  • Electronic copy of (or a link to) Master thesis.
  • Electronic copy of publications (if available; if more than 3, please submit top 3). If no publications are available, please submit some substitute, e.g. presentations slides of a given presentation.
  • Contact details of or recommendation letters from 2 referees.

The position may be filled early if a suitable candidate is found, so do not wait until near the deadline to apply. Applications are only accepted via the dedicated web system (do not send applications via email as they will be ignored).

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Mathematics and Computer Science

TU/e is a leading international university of technology specializing in Engineering Science & Technology. Through excellent teaching and research we contribute to progress in the technical sciences, to the development of technological innovations, and as a result to the growth of prosperity and welfare in the region and beyond.

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In your application, please refer to and reference JobID 17398.