University of Nottingham

Research Associate/Fellow (Fixed term)

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Reference SCI437522

Closing Date Wednesday, 26th October 2022

Job Type Research

Department Psychology

Salary £28762 to £36386 per annum (pro rata if applicable) depending on skills and experience (minimum £32348 with relevant PhD).

We invite applications for a postdoctoral research Associate/Fellow to join the Humphries’ group at the University of Nottingham on the Innovate UK-funded project “GEMINI: Platform Informatics For Data-driven Neuromodulation”. Its goal is to develop a precision medicine platform for neuromodulation, in collaboration with MachineMedicine Technologies and St George’s Hospital, London. A crucial unmet need in the management of Parkinson’s disease is how to reliably identify patients that would benefit from deep brain stimulation, the most effective treatment for Parkinson’s. The project team will create a machine-learning platform that synthesises wide-ranging personal and clinical data to predict the suitability of each Parkinson’s disease patient for deep brain stimulation.

You will co-develop the machine learning pipeline, drawing on extensive patient-specific clinical data from St George’s. You will develop a new model-based approach to patients, by creating suitable models of the basal ganglia, the key neural circuit affected in Parkinson’s disease. A key element of your role will be building collaborations with the team at MachineMedicine Technology building the GEMINI platform and at St George’s Hospital collecting the patient data. 

You will have experience in machine learning or in computational neuroscience, and good programming skills in Matlab and/or Python. You will have experience of collaborative research, and have or be near completing a PhD in a quantitative discipline.

The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes actions in the world and is disrupted in movement disorders (https://www.humphries-lab.org). We draw on and develop a wide range of computational approaches to data, including unsupervised machine learning, network theory, and dynamical systems theory. The group is part of a major research centre in computational neuroscience at the University of Nottingham, which includes the teams of Professors Mark van Rossum (Psychology), Stephen Coombes (Mathematical Sciences), and Markus Kaiser (Medicine).

This post will be offered on a fixed-term contract for a period of 3 years (36 months). Hours of work are full time (36.25 hours). Job share arrangements may be considered.

Informal enquiries may be addressed to Professor Mark Humphries or email mark.humphries@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

Our University is a supportive, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, see our Moving to Nottingham pages.

For successful international applicants, we provide financial support for your visa and the immigration health surcharge, plus an interest-free loan to help cover the cost of immigration-related expenses for any dependants accompanying you to the UK. For more information please see the our webpage on Financial support for visas and the immigration health surcharge.

Job details

Title
Research Associate/Fellow (Fixed term)
Location
University Park Nottingham, United Kingdom
Published
2022-09-23
Application deadline
2022-10-26
Job type
Save as a favourite

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About the employer

We are a pioneering institution that provides an exceptional research-led education for 45,000 students from over 150 countries.

Visit the employer page

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