University of Bath
CEREBRIS Research Associate (Generative AI for Multimodal Neuroimaging)
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CEREBRIS Research Associate (Generative AI for Multimodal Neuroimaging)
About The Role
The CEREBRIS project is a groundbreaking project tackling one of the most pressing health challenges: neurological disease. These conditions now account for the highest share of global disability. By age 75, one in three people will be affected by a neurological condition, and one in five women will experience a stroke each year. These conditions disproportionately affect low-and-middle income countries. There is a critical need for solutions that are scalable, affordable and personalised to patients.
CEREBRIS is a European Innovation Council (EIC) Pathfinder Open 2025 project involving an innovative, data-driven approach to managing neurological diseases. It aims to develop a secure, federated and explainable ecosystem- starting with stroke care. Its AI models will be designed from multiple types of patient data- such as brain scans, motion patterns and brain signals- to help doctors understand and predict more objectively how an individual is progressing and will recover after a brain injury. Using privacy-preserving technologies, the system will allow hospitals and clinicians to work together without ever sharing raw data, ensuring trust and compliance with global regulations.
Driven by a multidisciplinary European consortium with deep expertise in neurology, AI, neurotechnology, and clinical translation, CEREBRIS will transform the entire stroke pathway- from early diagnosis to recovery. By delivering precise diagnostics and targeted rehabilitation, CEREBRIS will significantly reduce long term disability, substantially reduce healthcare expenses, and set a new standard for brain health globally.
This is a research-intensive role, with the expectation of significant contributions to research excellence, translational medicine, and innovation.
Working alongside Prof Michael Yang, Prof Damien Coyle and the CEREBRIS team associated with the Bath Institute for the Augmented Human and Centre for Spatial Intelligence, the Research Associate will develop novel artificial intelligence methods for the analysis and integration of multimodal biomedical data, as described in the CEREBRIS work plan. The research will focus on developing advanced generative and foundation AI models that learn shared representations from neuroimaging, wearable physiological signals, movement analysis and clinical data to improve the understanding, assessment and prediction of post-stroke motor function and recovery.
About You
The postholder will design, implement and evaluate state-of-the-art machine learning algorithms for multimodal data fusion, representation learning and predictive modelling, including the development of scalable AI pipelines and synthetic data generation approaches. The role will also contribute to privacy-preserving and federated learning methodologies to enable secure analysis of distributed healthcare datasets and support the translation of AI technologies into clinically relevant tools for stroke prognosis and personalised rehabilitation.
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The post-holder will be expected to publish the results of the research in high impact journal publications (e.g. T-PAMI, IJCV) and top-tier AI conferences (e.g. NeurIPS, ICLR, CVPR, ICCV, ECCV). Experience of AI research (e.g. diffusion models, agentic AI), developing and applying technologies including deep learning using platforms such as Keras, Pytorch and/or experience of optimising the performance of software for high-performance computing on GPU clusters is requirement for this role.
Essential
- A PhD (or equivalent experience and professional qualification) in Artificial Intelligence, Computer Science, Machine Learning, Biomedical Engineering, Computational Neuroscience or a closely related discipline.
- Experience with multimodal AI, foundation models, generative AI or representation learning.
- Experience developing AI, machine learning or signal processing methods using frameworks such as PyTorch and/or TensorFlow.
- Evidence of research excellence, including publications in high-quality peer-reviewed journals or top-tier conferences.
- Excellent programming, analytical, written and verbal communication skills.
- Strong organisational skills with the ability to manage competing priorities and meet project deadlines.
- Ability to work independently and collaboratively within a multidisciplinary and international research team.
- A commitment to conducting research to the highest professional and ethical standards.
Desirable
- Hands-on experience acquiring, processing or analysing EEG and/or fNIRS data, with the ability and enthusiasm to work across both modalities.
- Experience integrating neurophysiological, neuroimaging and/or movement datasets.
- Experience with GPU-accelerated computing or high-performance computing environments.
- Experience contributing to research proposals, supervising students or working within collaborative research projects.
Further information
This is a full time (36.5 hours per week) fixed term role with an expected duration of 36 months.
For an informal discussion regarding the role please contact Michael Yang at myy35@bath.ac.uk.
We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equity and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.
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We're very proud to be a signatory of the Armed Forces Covenant. An accredited Disability Confident Leader; autism friendly university, committed to building disability confidence and supporting disabled staff.
What we can offer you
Benefits
- Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
- Generous employer contributory pension schemes
- Cycle to work scheme
- Electric vehicle salary sacrifice scheme
- Staff discount at Team Bath gym
- Staff benefits include discounted postgraduate tuition and language courses, alongside a wide range of personal and professional development opportunities such as apprenticeships, LinkedIn Learning, and more
- Local discounts, including free entry to the Holburne Museum in Bath
- A family-friendly workplace
- An excellent reward package that recognises the talents of our diverse workforce
- Relocation allowance
- Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses
- Employee assistance services through Health Assured, including access to the Wisdom app
Find out more about our benefits and watch the video to hear from our staff about what makes the University of Bath a great place to work as well as following us X and LinkedIn.
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We’re Committed To Creating a Health-supporting Working Environment Where Everyone Can Thrive And Be At Their Best. We Offer a Range Of Resources To Enable You To Do That From Your First Day Here, Including
- Staff support groups and networks
- A network of Staff Wellbeing Champions
- A suite of tools, resources and frameworks that enable you to be at your best and thrive
Find out more about being at your best at Bath.
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Further Details
- Job Description & Person Specification
- Terms and Conditions of Employment
Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage.
Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.
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