Eindhoven University of Technology (TU/e) invites applications for International PhD Position in Causal Machine Learning. This four-year position focuses on cutting-edge research in causality, including areas such as causal representation learning, counterfactual reasoning, and applications in AI.
The program is open to motivated candidates with a strong academic background in Computer Science, Mathematics, or related fields. Applicants should demonstrate excellent analytical, coding, and communication skills and a desire to conduct impactful research.Eindhoven University of Technology (TU/e), located in the Netherlands, is a leading research-driven university specializing in engineering, technology, and innovation. Renowned for its collaborative approach with industry and academia, TU/e focuses on solving complex global challenges through interdisciplinary research and education. Its vibrant, green campus fosters innovation and entrepreneurship, making it a hub for cutting-edge developments in areas like artificial intelligence, sustainable energy, and smart mobility.
Technische Universiteit Eindhoven Information
Founded in 1956, Technische Universiteit Eindhoven (Eindhoven University of Technology) is a non-profit public higher education institution located in the urban setting of the large town of Eindhoven (population range of 50,000-249,999 inhabitants), North Brabant. Officially accredited and/or recognized by the Ministerie van Onderwijs, Cultuur en Wetenschap, Nederland (Ministry of Education, Culture and Science, Netherlands), Technische Universiteit Eindhoven (TUe) is a medium-sized (uniRank enrollment range: 7,000-7,999 students) coeducational higher education institution. Technische Universiteit Eindhoven (TUe) offers courses and programs leading to officially recognized higher education degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details.
Application Process
Applicants must submit a complete application through the university’s dedicated web system (applications via email will not be accepted). The application should include:
- A research statement (max. 1 page) outlining research experience, interests, and preferred future research direction.
- A CV detailing education history, relevant courses, theses, research experience, and teaching experience (if applicable).
- Transcripts of Bachelor’s and Master’s degrees.
- An electronic copy of the Master thesis.
- Electronic copies (or links) to publications or equivalent materials.
- Contact details or recommendation letters from two referees.