Faculty Fellowship Programme - Data Science - October 2026

A finished PhD or Master's in a STEM subject with some data science/machine learning experience.

A high level of mathematical competence.

The ability to code or have programming experience, especially in Python.

Some experience with theoretical concepts of statistical learning (e.g. hypothesis testing, Bayesian Inference, Regression, SVM, Random Forests, Neural Networks, Natural Language Processing, optimisation).

Experience with some coding libraries frequently used in data science.

The ability to communicate effectively.

Experience composing and following a project plan/sticking to self-imposed deadlines.

Please submit your application no later than Tuesday 7th July 2026 at 17:00 (BST). Early submissions have a significant advantage as we have more time to review them.

The coding test will take place in mid July 2026. Candidates will be notified about the coding test via email.

• Following this, we are piloting a short video-based communication task for some candidates. This is used to refine our selection data and help you demonstrate the communication skills needed to be successful in the programme. Participation will not override the technical benchmarks required for an interview.

The interviews will take place from end July / mid August 2026. We will interview candidates via Google Meet. Candidates will be notified about the interviews by email.

Regardless of the application outcome, you will be notified by Friday 4th Sept 2026 the latest.