Job Description

Job number

MED05281

Faculties

Faculty of Medicine

Departments

Department of Brain Sciences

Salary or Salary range

48,056 - 56,345 per annum

Location/campus

Hammersmith Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

6 Jul 2025

About the role

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The Department of Brain Sciences at Imperial College London is looking to fill a Research Associate position to contribute to our research in dementia and the effect of multimorbidity on diagnosis and prognosis of dementia.



The candidate should have a PhD or MSc in a relevant field such as Neuroscience, Computer Science, Mathematics, or related disciplines with a focus on machine learning, deep learning or data science for clinical applications.

What you would be doing

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The postholder will become a member of the research group in the Department of Brain Sciences working with Professor Payam Barnaghi. They will be expected to carry out their own research, submit publications to refereed journals and attract external research funding.



This work will focus on developing robust and adaptive methods that use continuous in-home observation and measurement data and electronic healthcare records at population and individual levels to extract health insights and develop analytical models for healthcare risk analysis.



We are looking for a creative and enthusiastic researcher who can take on a challenging role with considerable scope for independent scientific achievement and personal growth. The successful candidate will play a central role in developing the neuroscientific and machine learning work within the Department of Brain Sciences.

What we are looking for

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The candidate will be supported in their career development. The research will involve working with partially labelled data, natural language processing, unstructured and semi-structured data analysis, and applying semi-supervised learning approaches to develop decision support and predictive models. The technical work will also require integration, verification and validation of the designed solutions using existing clinical study data. Experience in software development and programming and practical applications of machine learning in clinical data analysis will be highly desirable.

What we can offer you

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The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity Benefit from sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes) Get access to a range of workplace benefits including a flexible working policy from day 1, generous family leave packages, on-site leisure facilities and a cycle-to-work scheme Interest-free season ticket loan schemes for travel Be part of a diverse, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing.

Further information

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This is a Full time fixed term role (3 years), based at our White City Campus.



Please contact Payam Barnaghi (p.barnaghi@imperial.ac.uk) for further information.

Available documents

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Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.



If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.


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About Imperial

Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.



Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact.



As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network.



This is your chance to help shape the future. We hope you'll join us at Imperial College London.


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Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.



Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.