Calling PhDs / Postdocs for Visiting Fellowships in Machine Learning at Newcastle University

Newcastle University is seeking enthusiastic early career researchers working in Machine Learning for fully-funded visiting fellowships hosted in the team led by Prof Chris Oates.

In this second call we aim to award 3 fellowships, and applicants may be from the UK or abroad.  A fellowship would typically last around 4-6 weeks, and should be carried out within one year of the award.  Permissible travel and accommodation expenses will be reimbursed up to £4,000.

Examples of some relevant research areas include:  Bayesian computation, Gaussian processes, generalised Bayesian inference, kernel methods, mean field Langevin dynamics, Monte Carlo, post-Bayesian inference, probabilistic numerics, and Stein's method.

To apply for a visiting fellowship, please prepare at most one page of A4 outlining:

• the proposed research project;

• potential collaborators at Newcastle;

• any accessibility requirements;

• whether approval from the home institution / supervisor has been sought.

Informal enquiries and formal proposals should be sent to chris.oates@ncl.ac.uk, with the closing date of 31 March 2026.  Successful applicants will be notified by 7 April 2026. 

All visiting fellowships are financially supported by the Leverhulme Trust.

Visiting Fellows in 2025

Clémentine Chazal, ENSAE. A Computable Measure of Suboptimality for Entropy-Regularised Variational Objectives. [arXiv]

Hudson Chen, University College London. Stationary MMD Points for Cubature. [arXiv]

Disha Hegde, University of Southampton. Automatic Selection of the Nugget for Linear System Solves in Machine Learning.

Visiting Fellows in 2026

Linfeng Wang, King’s College London.

Rui Zhang, Lancaster University.

William Laplante, University College London.