About the team: This senior research role will be located in the School of Psychology based in the Brooks Building on our Manchester campus within the Faculty of Health and Education. The school is home to our translational and computational neuroscience research group, who are using advanced neuroimaging and electrophysiological techniques combined with computational modelling to develop new treatment strategies for people with movement disorders. We are a team of basic and computational neuroscientists, movement disorder clinicians, neuroimaging experts and computer scientists. We collaborate across the UK and internationally with academics, charity and industry partners, and our work is supported via a range of funders including UKRI. About the project: Our groundbreaking research project aims to revolutionise the treatment of Parkinson's disease through the development of a comprehensive "Digital Twin" of the Parkinson's brain. This virtual model will predict how a patient's brain responds to treatments like medication and deep brain stimulation (DBS), enabling personalised and precise treatment strategies. Additionally, we are creating a tool that will allow people with Parkinson's to monitor their own brain activity and make informed decisions about their health. By combining cutting-edge neuroscience, computational modelling, and AI, our project promises to transform the lives of people with Parkinson's disease globally. About the role: This is a 100% FTE, 3-year fixed term senior research post and is intended to deliver the projects described above. The post is offered at Grade 8 or Grade 9, depending on skills and experience. This represents an outstanding opportunity to contribute to the development of novel and innovative research, and to develop your own research goals as part of our team. The role will involve collecting structural and functional brain images using MRI and PET in people with Parkinson's. You will carry out advanced neuroimaging analyses to understand how changes in the brain contribute to Parkinson's symptoms and to develop novel treatment strategies. You will work with our national and international collaborators to deliver this work, and some travel abroad will be required to collect data and to disseminate findings. About the candidate: We are looking for an enthusiastic and proactive experienced researcher who has expert knowledge of applying advanced analytical techniques to neuroimaging data and who is confident in building and supporting internal and external networks that support the needs of research. The successful candidate will collect and collate data and other research outcomes, analyse and evaluate findings and disseminate these to the relevant groups and research communities. We expect the successful candidate to develop their own research program, and we will support them to attract external funding to support their work. To apply: If you would like to apply, please take the time to consider the essential criteria in the job description and provide us with a CV that demonstrates your suitability for the role. For an informal discussion regarding the requirements of the roles please contact Professor Nicola Ray at n.raymmu.ac.uk to arrange an informal TEAMs call. Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from local and international communities, particularly those from Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ individuals. We support a range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in your role, please let us know so we can provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources and professional development opportunities to empower and support underrepresented groups.