PhD Studentship: Intrinsically-aligned machine learning

Oxford Brookes University
Oxford, South East England, United Kingdom
Last week
£21 pa

Salary

£21 pa

Job Type
Contract
Work Pattern
Full-time
Work Location
On-site
Seniority
Entry
Education
Masters
Visa Sponsorship
Available
Posted
1 May 2026 (Last week)

3 Year Full-time PhD Studentship Funded by Leverhulme Trust

Eligibility:Open to Applications from Home and International students

Bursary p.a.:£21,805

Start Date:14th September 2026

Application deadline:22nd May 2026

Course length (full time):3 years

Director of Studies:Prof Fabio Cuzzolin, Dr Matthias Rolf

Entry Requirements:At least an upper second class degree (preferably MSc) in a Science or Technology discipline.

Essential Criteria:

  • 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.

Project Description:Whereas traditional machine learning is solely interested in model selection (i.e., identifying, given the available data for the task at hand, the model that is expected to perform best), we propose a new paradigm for an “intrinsically-aligned” artificial intelligence, where accuracy, fairness and explainability are all taken into account when selecting the “best” AI model.

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.

Please complete your online application via the above 'Apply' button.

Please note the following:

Title: PhD Studentship – Intrinsically-aligned machine learning

Please be advised that the selection process will involve an interview.

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

Applications must be completed by 5pm GMT onMay 22, 2026.

For informal inquiries about the project or the application process contact Dr Matthias Rolf.

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer (Forward Deployed)

Mind Foundry Oxford/ Hybrid, Oxfordshire, United Kingdom
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

PhD Studentship: Machine Learning Enhanced Muon Imaging for Nuclear Waste Monitoring and Safeguards

University of Surrey Guildford, South East England, United Kingdom
£26,000 pa On-site

PhD Studentship: Realistic Computer Vision

University of East Anglia Norwich, South East England, United Kingdom
£20 pa On-site

PhD Studentship: Cracks and Code: From High-Fidelity Simulations to Fast Scientific Machine Learning Models

University of Warwick Coventry, University Of Warwick, Midlands Of England, United Kingdom
£21,805 pa On-site

PhD Studentship: From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments

University of Warwick Coventry, University Of Warwick, Midlands Of England, United Kingdom
£21,805 pa On-site

PhD Studentship: Machine Learning Accelerated Electronic Transport Calculations For Complex Materials

University of Warwick Coventry, University Of Warwick, Midlands Of England, United Kingdom
£21,805 pa On-site

PhD Studentship: Machine Learning Accelerated Inverse Design of Graphene Nanoribbons for Green Energy

University of Warwick Coventry, University Of Warwick, Midlands Of England, United Kingdom
£21,805 pa On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.