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Research Associate in Numerical Analysis and Probabilistic AI

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: The University of Manchester
Full Time position
Listed on 2025-12-30
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Job Description & How to Apply Below

Research Associate in Numerical Analysis and Probabilistic AI

Join the Research Associate (Postdoctoral) in Numerical Analysis and Probabilistic AI role at The University of Manchester
.

Background: We invite applications for a Post Doctoral Research Associate position to join the EPSRC-funded Probabilistic (ProbAI) Hub. The vision of the ProbAI Hub is to develop a world-leading, diverse and UK-wide research programme in probabilistic AI, developing the next generation of mathematically principled, scalable and uncertainty‑aware AI algorithms. The Hub’s research activities are centred around five key themes. For more information, see the ProbAI Hub website and research‑themes page.

Job Summary: This numerical analysis‑focused PDRA position will be based at the University of Manchester, but co‑supervised by lead researchers at both the University of Manchester (Professor Catherine Powell) and the University of Edinburgh (Dr. Aretha Teckentrup). Funding will be available to visit the University of Edinburgh and to attend Hub‑sponsored events, including problem‑solving weeks, conferences and internal retreats. We are seeking a candidate with a strong background in some aspect of numerical analysis for PDEs and an interest in scientific machine learning and probabilistic methods, who enjoys working in collaborative interdisciplinary settings, and will contribute to the Hub’s research efforts under the following themes:

  • Structure‑constrained and Informed AI
  • Probabilistic and Uncertainty‑aware Methods for Trustworthy and Green AI

Applicants are encouraged to include a covering letter or statement outlining how they feel they can contribute to the research of the Hub (as outlined in the Further Particulars document) and what sort of projects they are most interested in. This should be collated with a CV as one PDF document under 1 MB when uploading.

Interviews are provisionally scheduled to take place in the week commencing 26th January 2026.

What you will get in return:

  • Fantastic market‑leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

The University is positive about flexible working – you can find out more about this policy.

Please be aware that, due to the number of applications, we are unfortunately unable to provide individual feedback on your application.

We are unable to respond to enquiries, accept CVs or applications from recruitment agencies. Any CVs submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name:
Professor Catherine Powell
Email:
Cathe

General enquiries:

Email:
People.

Technical support:

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.

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Position Requirements
10+ Years work experience
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