Join the CEREBRIS project, a flagship European Innovation Council (EIC) Pathfinder programme developing next-generation AI and neurotechnology to transform stroke diagnosis, prognosis and rehabilitation. Working within the Bath Institute for the Augmented Human, you will collaborate with leading researchers and an international consortium to deliver cutting-edge translational research.
In this role you will:
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Develop and apply advanced AI methods, including multimodal foundation models and deep learning, to analyse complex neurotechnology and clinical datasets.
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Work with multimodal data including EEG, fNIRS, MRI, movement analysis and clinical assessments to develop explainable AI for stroke recovery.
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Publish high-impact research, contribute to international collaborations, and present your work at leading conferences.
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Help shape the future of AI-driven neurotechnology within a multidisciplinary team spanning computer science, engineering, neuroscience and clinical research.
As a member of Research Staff at the University of Bath, you will be encouraged to take up a minimum of 10 days professional development pro rata per year.
A lower grade offer may be made (Grade 6) with comparable reduction in responsibilities and amendment in job title to Research Assistant, if a suitable applicant cannot be found to fill the Grade 7 position. Applicants will need to be within six months of their course completion date and will be promoted to Research Associate once their PhD has been awarded.
We are looking for a motivated researcher with a passion for applying AI to solve real-world healthcare challenges. You will have strong technical skills, experience with neurophysiological data, and enjoy working collaboratively within a multidisciplinary research environment.
Essential:
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A PhD (or equivalent experience and professional qualification) in Artificial Intelligence, Computer Science, Machine Learning, Biomedical Engineering, Computational Neuroscience or a closely related discipline.
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Experience developing AI or machine learning methods using frameworks such as PyTorch and/or TensorFlow.
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Hands-on experience acquiring, processing and analysing EEG and/or functional near-infrared spectroscopy (fNIRS) data.
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Experience developing robust signal processing and/or machine learning pipelines for complex datasets.
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Evidence of research excellence, including publications or the potential to publish in high-quality peer-reviewed journals.
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Excellent programming, analytical, written and verbal communication skills.
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Ability to work independently and collaboratively within a multidisciplinary research team.
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Excellent organisational skills with the ability to manage competing priorities and meet project deadlines.
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A commitment to conducting research to the highest professional and ethical standards.
Desirable:
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Experience with multimodal AI, foundation models, generative AI or representation learning.
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Experience integrating neurophysiological data with neuroimaging, movement or clinical datasets.
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Experience with GPU-accelerated computing or high-performance computing environments.
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Experience contributing to research proposals, supervising students or working within international collaborative research projects.
This is a full time (36.5 hours per week) fixed term role lasting approximately 36 months.
For an informal discussion regarding the role please contact Damien Coyle at [email protected].
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.
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.
We're continually expanding our benefits package to better support you and enhance your experience with us and the below is just an example of some of the many great benefits we offer:
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Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
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Generous employer contributory pension schemes
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Cycle to work scheme
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Electric vehicle salary sacrifice scheme
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Staff discount at Team Bath gym
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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
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Local discounts, including free entry to the Holburne Museum in Bath
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A family-friendly workplace
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An excellent reward package that recognises the talents of our diverse workforce
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Relocation allowance
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Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses
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Employee assistance services through Health Assured, including access to the Wisdom app
Find out more about our benefits hear from our staff about what makes the University of Bath a great place to work as well as following us X and LinkedIn.
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:
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Staff support groups and networks
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A network of Staff Wellbeing Champions
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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.
- Job Description & Person Specification
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.
