PhD in Probabilistic Machine Learning
- Eindhoven, Noord-Brabant
- € 2.770-3.539 per maand
- Tijdelijk
- Voltijds
- 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
- 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
- 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
- An allowance for commuting, working from home and internet costs.
- A
- 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.
EURAXESS