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Job 18f9fd514abb460c

PhDApplications Closed

Thomas Krak

Unknown Organization
Eindhoven University of Technology
Apply by Jun 23, 2025

Application deadline

Jun 23, 2025

Job location

Job location

Thomas Krak

Geocoding

Eindhoven University of Technology

Geocoding is still running and results will appear soon.

Source: legacy

Quick Information

Application Deadline

Jun 23, 2025

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job location

Job location

Thomas Krak

Geocoding

Eindhoven University of Technology

Geocoding is still running and results will appear soon.

Source: legacy

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Job Description

The Uncertainty in Artificial Intelligence (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 (www.personalisedcareinoncology.nl). 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.

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.
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