Job Description

Grade UE07 - 41,064 - 48,822

College of Medicine and Veterinary Medicine / School of Population Health Sciences / Usher Institute

Full time: 35hrs per week

Fixed Term: Available from 1 March 2026 - 31 August 2028

The Opportunity:

The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a non-clinical Post-doctoral Research Fellow to conduct original research, focusing on the development and application of data analytics methods to process multimodal data to provide clinically useful insights into bipolar disorders. This is part of the 3m 5-year Wellcome Trust Programme Grant, "Ambient and passive collection of sleep and circadian rhythm data in bipolar disorder to understand symptom trajectories and clinical outcomes (AMBIENT-BD)", https://www.ambientbd.com/).





The post holder will be a key member of the Data Analytics Research and Technology Research group (DARTH, https://www.darth-group.com/) led by Prof. Athanasios Tsanas, and the AMBIENT-BD project team (https://www.ambientbd.com/team). They will:




a) focus on the development and application of signal processing and statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder;


b) work on sleep datasets exploring the relationship of sleep and mental health; and


c) engage with clinical collaborators to facilitate translation of findings into clinical practice.


We will also consider requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular (weekly) on-campus working. The Usher Institute expects a minimum of 40%on campus working.

Informal enquiries may be directed to Prof. Thanasis Tsanas, Professor of Digital Health and Data Science (atsanas@ed.ac.uk )

Your skills and attributes for success:

PhD or MSc with related work experience in a relevant discipline e.g. Medical Informatics, Engineering, Mathematics, Statistics, Physics, or Computer Science. Experience in the application and development of data analytics methods (e.g. time-series analysis, signal processing, statistical machine learning), preferably including some experience on physiological signals, clinical reports/self-reported outcome measures and sensor data. Experience working in multi-disciplinary teams, preferably with clinical colleagues. Excellent programming skills (MATLAB or Python preferred). Proven track record of publishing research outputs. Click to view a copy of the full job description (opens new browser tab)

Application Information:

Please include your CV and a supporting statement with details of how you meet the knowledge, skills and experience required for this post.


Non-University of Edinburgh employees (i.e. external applicants) - please refer to the How to Apply - External Candidate system user guide


Current University of Edinburgh employees (i.e. internal applicants) interested in applying for this role - you must apply as an internal applicant through the People and Money Current Jobs tile. Please refer to the How to Apply - UoE Employee system user guide

As a valued member of our team you can expect:

A competitive salary. An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success. To be part of a diverse and vibrant international community. Comprehensive Staff Benefits, which includes a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, flexible working and much more. Click to access our our

staff benefits page

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Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.


Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our

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The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.

Key dates to note

The closing date for applications is

5th January 2026.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.


Interviews dates to be confirmed.