Job Description

Be part of something bigger.

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Doing things differently.

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Research Assistant in XAI and Federated Learning

Grade G (33,045 - 38,026 p.a. pro rata)


Full Time/Fixed Term

About the Role

This role is funded by the Horizon Europe project PHASE IV AI (see here: https://phase4ai-project.eu/). You will work closely with a multidisciplinary team of academics and industry experts to develop AI-powered tools that support next-generation healthcare service delivery, including AI Model as a service and Synthetic data as a service.


The core focus of the role is to develop explainable AI methods for identifying populations at higher risk of lung cancer, prostate cancer, and other non-communicable diseases within a Federated Learning framework. You will also contribute to building interpretable machine learning models that detect these diseases using multimodal data sources, primarily electronic health records (e.g., CPRD), supplemented by medical imaging (MRI, CT, PET) and genomics data.


We are committed to building a diverse and collaborative team. To support this, we actively encourage secondments and flexible arrangementsour priority is finding the right person for the role.



Interviews; 21st October

About Us

The School of Science and Technology at Nottingham Trent University (NTU) is an exciting multidisciplinary environment for learning, teaching and research, with some of the best facilities in the UK.


We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic science, mathematics, physics and sport science. This mix of traditional and modern subjects encourages and inspires future innovators.


The Department of Computer Science resides within the School of Science and Technology on the Clifton Campus of Nottingham Trent University (NTU) and there are excellent collaborative opportunities with colleagues in other departments and research centres. NTU has a long and established history for delivering computing-related programmes.


Our Department of Computer Science combines internationally significant research with an outstanding record for teaching excellence. Our state-of-the-art facilities and career-focused approach to course design provide the right conditions for students to excel in their chosen fields.


The department has research strengths in Interactive Systems, Computational Intelligence, Pervasive Computing, and Cybersecurity, with active research groups breaking new ground in these fields.


For any informal queries about the role or the team, please contact

Hiring Manager Name Professor David J. Brown

at

david.brown@ntu.ac.uk.

Join Us

Find out more about our academic community at NTU, including the support we offer to academics at all stages of their careers.


We also offer:

30 - 35 days annual leave per year plus statutory bank holidays and 5 university closure days pro rata

Salary Sacrifice Retirement Savings Plan

with life assurance and income protection. Available to colleagues who choose to opt out of the contractual pension scheme. Minimum colleague contributions of 0% matched with

minimum NTU contributions of 8%.

Opportunity to receive a bonus for exceptional performance and contribution Range of health and wellbeing services, including a Health Cash Plan, voluntary benefits, discounts, and savings for all colleagues. And a whole lot moreFind out more about the range of benefits we offer.

Come and be part of our success. Apply today.

Safe and Inclusive

At NTU, we continue to build an inclusive culture that encourages, supports and celebrates the diverse voices and experiences of our students and colleagues. By championing positive wellbeing, we promote an environment where all can thrive and reach their full potential. We welcome the unique contributions that you can bring and we encourage people from underrepresented communities and backgrounds to apply to join our team.


Please note that unfortunately, this role has been assessed as ineligible for sponsorship under the UK Visas & Immigration points-based immigration system however, we recommend that you assess your eligibility before applying for this position. For more information visit the Government Skilled Worker visa support page. However, applications are welcome from candidates who do not currently have the right to work in the UK, but who would be eligible to obtain a valid visa via another route. Please consult the Home Office website for further information.


Please note that this role is covered by the Rehabilitation of Offenders Act (1974) and successful applicants will be asked to declare any unspent criminal convictions.