Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Heilbronn Research Fellowships in Pure Mathematics, Data Science, and Quantum Computing

University of Bristol
London
1 week ago
Create job alert

The role

The Heilbronn Institute for Mathematical Research invites applications for Heilbronn Research Fellowships. Fellows divide their time equally between their own research and the classified research programme of the Heilbronn Institute, thus enjoying opportunities to engage in collaborative work as well as individual projects.

Research areas of interest include, but are not restricted to, Algebra, Algebraic Geometry, Combinatorics, Data Science, Number Theory, Probability, and Quantum Computing. Fellows have previously been appointed with backgrounds in most areas of Pure Mathematics and Statistics, and Mathematical/Theoretical Physics.


We expect to make up to 7 appointments at the University of Bristol, Imperial College London, King’s College London, and The University of Manchester. These appointments will mainly be in Pure Mathematics with up to two of the appointments at the University of Bristol in Data Science or Quantum Computing.


What will you be doing?

Fellows join a cohort of around 50 Heilbronn Research Fellows that includes some of the leading early career mathematicians in the UK. Expert mentoring will be provided by the host department, with a national programme of career development events overseen by our Associate Chairs, who are based in the School of Mathematics at the University of Bristol, King’s College London, and the University of Manchester.


The internal research programme is determined by the Head of HIMR in conjunction with GCHQ. Fellows are presented with a range of challenging mathematical problems and are given the facilities and support to contribute to one or more of them, frequently as part of a collaborative team.


You should apply if

Due to the nature of the Institute's work, Fellows must apply for a national security clearance at an appropriate level before appointment. Applications are open only to UK resident, UK or dual UK nationals. Applicants are welcome to contact the Heilbronn Manager, to discuss eligibility.


The Heilbronn Institute is a supporter of the LMS Good Practice Scheme aimed at advancing women’s careers in mathematics and we particularly welcome applications from women.


Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.