Research Fellow – Applied AI (111400-0526)
Posted 1 day ago by University of Warwick
£46,049 Per year
Undetermined
Undetermined
Coventry, England, United Kingdom
Summary: The Research Fellow in Applied AI at WMG focuses on advancing data science and machine learning methods, particularly in robust data handling for materials applications. The role requires collaboration with academics and industry partners, contributing to AI solutions for engineering challenges. Candidates should possess a PhD in computer science or a related field, with experience in deep learning and machine learning projects. Opportunities for training and career development are available within this dynamic research environment.
Key Responsibilities:
- Conduct research on data science and machine learning methods.
- Develop robust data collection and manipulation techniques for materials applications.
- Collaborate with academics and industrial partners on AI solutions.
- Contribute to a project portfolio in engineering and computing problems.
- Engage in training and career development opportunities.
Key Skills:
- PhD in computer science or a related field.
- Experience in deep learning methods and statistical principles.
- Proficiency in pyTorch or similar frameworks.
- Ability to process data from diverse sensors.
- Publication record demonstrating relevant experience.
- Experience in collaborative R&D environments, particularly with industry.
Salary (Rate): £46,049.00 yearly
City: Coventry
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
About The Role
Informal Queries
For informal queries, please contact Professor Kurt Debattista at k.debattista@warwick.ac.uk.
Flexible Working
We will consider applications for employment on a part-time or other flexible working basis (e.g. job share), despite the position being advertised as full-time.
The Data and Visualisation Group at WMG are looking for a talented and highly motivated researcher to further our research on the development of data science and machine learning methods on the use of ML methods and, in particular, robust data collection, handling and manipulation for applications in the materials domain. You will contribute to a developing project portfolio in applying AI solutions to engineering and computing problems.
About You
You will have a PhD in computer science or a related field. Particularly, candidates should have experience in the following areas:
- A solid foundation in deep learning methods including the computing and statistical principles that found it
- Experience of working with pyTorch (or similar) for solving real-world problems or advancing machine learning solutions
- The ability to process and handle data collected from diverse sensors
- A publication records that demonstrates the above
- Experience in machine learning projects in a collaborative R&D environment (particularly in collaboration with industry) would be advantageous.
This exciting role will involve close collaboration with other academics and industrial partners and there will be opportunities for training and career development. For details on the experience and skills required, please refer to the job description attached as a PDF below.
PhD Status
If you are near submission of your PhD, or have not yet had it conferred, any offers of employment will be made at Research Assistant level, at the highest spinal point of pay grade 5 (£34,610 per annum). Upon receipt of evidence confirming the successful award of your PhD, you will be promoted to Research Fellow , at the lowest spinal point of grade 6 (£35,608 per annum).
About The Department
The Warwick Manufacturing Group (WMG) is the largest department at the University of Warwick, with over 800 staff and nearly 3,000 students across undergraduate and postgraduate programmes in management, technology, and applied engineering. We are globally recognised for our world-class research, innovative industry partnerships, and teaching excellence, and we are proud holders of the Athena SWAN Silver Award and the Institutional Silver Award. Find out more about the High Value Manufacturing Catapult centre. Find out more about the Energy Innovation Centre. Find out more about our range of undergraduate and apprenticeship degrees here.
About The University
We are a world-leading research-intensive university founded in 1965. We are ranked 74th in the world and 9th in the UK. Additionally, 92% of our research is rated world-leading or internationally excellent. Find out more about us at warwick.ac.uk/about/. World University Ranking 2026, Complete University Guide 2026 Research Excellence Framework 2021
How to Apply
CLOSING DEADLINE: Sunday 17 May 2026 at 11:55pm (UK Time)
To apply, please click APPLY below and submit your application by the closing deadline. You will be asked to include a CV and cover letter. Within these documents, please:
- Outline your employment and education history (including your most recent employment).
- Outline the reasons for your interest in this position.
- Demonstrate how you meet the requirements of the role with clear reference to each of the essential and desirable criteria in the Job Description (PDF attached below).
Interview Date: To be confirmed
Start Date: To be confirmed
Applications must be submitted by the closing deadline. Only applications submitted through our Careers Portal will be considered. You are welcome to include any careers breaks you may have taken (e.g. parental/caring/long-term sick leave). Please note that if you do not evidence the essential criteria, the hiring panel may not be able to shortlist your application. For guidance on how to format a cover letter, see here.
What we Offer
We Provide a Comprehensive Range Of Benefits, Including
- An attractive pension scheme.
- 30 days holiday plus University Christmas closure.
- Generous parental/adoption leave policy.
- Onsite childcare facilities.
- Excellent learning and development opportunities.
We recognise the importance of a healthy work/life balance and offer access to flexible working arrangements. For more information, see here.
We are proud to be a Living Wage employer.
Our Commitment to Inclusion
Equality, Diversity, & Inclusion
Warwick is committed to fostering a diverse, inclusive and respectful community where everyone can thrive. We welcome applications from all backgrounds, cultures, and communities, and actively encourage candidates from underrepresented groups to apply. Find out more about our Social Inclusion work at Warwick. Find out more about our awards and accreditations. We are also one of the six founder institutions of the EUTOPIA European University Alliance.
Safeguarding & DBS
The University of Warwick is committed to safeguarding and promoting the welfare of all those we work with. Roles involving regulated activity are subject to a Disclosure and Barring Service (DBS) check at the appropriate level, in line with the DBS Code of Practice. The University will ensure that anyone subject to a barring order does not undertake any work with the barred group (children and/or adults). All employees, volunteers, and partners are expected to share our commitment to safeguarding.
Rehabilitation of Ex-Offenders
The University will not discriminate against applicants who make a disclosure relating to a conviction. Disclosures at application stage are only visible to the DBS team, not to hiring panels. This ensures fairness and removes bias from the shortlisting process.
Job Description JD - Research Fellow – Applied AI (111400).pdf – 167KB Opens in a new window
Right to Work in the UK
If you do not yet have the right to work in the UK and/or are seeking sponsorship for a Skilled Worker visa, please follow this link which contains further information about obtaining the right to work in the UK.