Phd Position in Causal Machine Learning
1 maand geleden
**Job description**:
- Causality: Theory and Application.
- Causal Probabilistic Circuits.
- Causal Representation Learning.
- Causal Explanations.
- Causality and Large Language Models.
- Counterfactual learning.
**Job requirements**:
- Master’s degree in Computer Science, Mathematics, or a related field.
- Excellent analytical skills.
- Excellent coding skills (e.g. Python, PyTorch, Tensorflow).
- 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.
**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.
**Information**
Do you recognize yourself in this profile and would you like to know more?
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
**Application**
- 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.
- 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.
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