Intrinsically-aligned machine learning PhD

In a truly cross-disciplinary effort, this project, funded by the Leverhulme Trust and in collaboration with the University of Manchester, will leverage results from human decision-making to inform the design of this new paradigm, and feed the results of the latter back into human decision-making to help make it more explainable.

Good working knowledge of machine learning and deep learning. Hands-on knowledge of Python or PyTorch for implementing machine learning and/or deep learning algorithms. Capability to work both independently and as part of a team. Excellent written and oral communication and organisational skills. Proficiency in written English is required. A real passion and commitment for research. Desirable criteria: Knowledge of a variety of deep learning architectures and methods. Knowledge or past work on explainability in AI. Previous publication record in relevant fields: AI, machine learning, computer vision, etc. Previous successful project on a relevant topic. Good knowledge of statistics, probability or statistical learning. English language requirements IELTS language certificate with an overall score of 6.5 (with no less than 6.0 in any element) issued in the last 2 years by an approved test centre. Application process Please complete your online application. Please note the following: Title: PhD Studentship - Intrinsically-aligned machine learning Select the following course: MPhil/PhD in Computing Include the following documents : Two references A research proposal Previous degree certificates and transcripts Scan of passport English language qualification (international candidates only) CV Cover letter

IELTS language certificate with an overall score of 6.5 (with no less than 6.0 in any element) issued in the last 2 years by an approved test centre. Appli

September 2026

22 May 2026

• Headington, United Kingdom