Publisher
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University of Cambridge

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Cambridge – Tübingen Ph.D. Fellowship

Cambridge–Tübingen Ph.D. Fellowship in Machine Learning University of Cambridge in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Ph.D. fellowship program; funding details are not specified in the post.

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Country

United Kingdom

University

University of Cambridge

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Keywords

Computer Science
Mathematics
Artificial Intelligence
Bayesian Statistics
Statistics
ML

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About this position

Cambridge–Tübingen Ph.D. Fellowship Call 2027 is open for candidates interested in machine learning, empirical inference, statistics, and related areas. The fellowship connects the University of Cambridge Machine Learning Group with the Max Planck Institute for Intelligent Systems in Tübingen, offering a joint research environment across two leading centres.

The post highlights principal supervisors at Cambridge: Carl Edward Rasmussen, Jose Miguel Hernandez Lobato, Adrian Weller, Hong Ge, and Miri Zilka, and in Tübingen: Bernhard Schölkopf. The opportunity is aimed at applicants whose research interests are well matched to these supervisors and their groups.

This is a Ph.D. fellowship announcement rather than a postdoc or master’s opening. The post does not specify stipend, tuition coverage, or other funding details, but it clearly refers to a fellowship call. No explicit deadline is stated in the post text.

To apply, follow the linked call page, review the fellowship information, and prepare an application aligned with the listed supervisors and research themes. The application link is provided in the post.

Funding details

Ph.D. fellowship program; funding details are not specified in the post.

What's required

Applicants should have research interests well matched to the principal supervisors in Cambridge and Tübingen. The call is for the next generation of machine learners and is specific to candidates whose interests align with the listed supervisors and research groups.

How to apply

Use the application link provided in the post to open the Cambridge–Tübingen Ph.D. Fellowship Call 2027 page. Review the call details and submit an application through the linked portal. Match your research interests to the listed supervisors before applying.

More information can be found here

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