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Form of workGrade UE07 £37,099 to £44,263 per annum (A revised salary range for this grade of £39,347 to £46,974 is planned to take effect from Spring 2024).
CMVM / MGPHS / USHER Institute.
Fixed-term available from 1 May 2024 to 30 April 2026.
Full Time - 35 Hours Per Week.
The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a postdoctoral researcher with experience in signal processing and Machine Learning for monitoring emotional states and wellbeing.
The Opportunity:
The researcher will have the opportunity to contribute to the design and implementation of advanced Machine Learning and signal processing software for health and wellbeing monitoring based on biological, speech and other behavioural signals, as part of the Horizon Europe project INT-ACT. Our team at University of Edinburgh will lead the collection and analysis of wearable sensor data and spontaneous speech narratives related to cultural heritage experiences mediated by extended reality software. The post holder will also contribute to the integration of the monitoring software to an extended reality (XR) system to be implemented by another consortium partner. The post-holder will collaborate with a qualitative methods researcher at the University of Edinburgh, and with teams in four countries (Finland, Greece, Portugal, and Romania) to co-create and implement a system to support interaction with intangible cultural heritage across diverse sites in Scotland, Portugal, Finland and Greece as a means of enhancing healthy ageing, mental wellbeing, and social connectedness.
Informal enquiries may be directed to Saturnino Luz, Professor, Chair of Digital Biomarkers & Precision Medicine ( s.luz@ed.ac.uk ).
- PhD in Computer Science, Computer Engineering or related field (or considerable relevant and equivalent experience).
- Experience with Machine Learning methods for analysis of speech, sensor and behavioural data.
- Excellent Machine Learning and signal processing skills.
- Track record in designing and implementing systems for tracking of mood or emotions, or applications of multimodal data to health and wellbeing assessment.
- Excellent programming skills.
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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:
An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success. You will benefit from a competitive reward package and a wide range of 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 staff benefits page (opens new browser tab) for further information and use our reward calculator to find out the total value of pay and benefits provided.
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.
If invited for interview you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab) .
Unless stated otherwise the closing time for applications is 11 April 2024 at 11:59pm GMT . If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
Work with us | Usher Institute - where inquiring minds work together to improve lives across the world.
Join our growing team of academics and professional services staff and work in a vibrant, multi-disciplinary environment. Our vision is to catalyse the transformation of health in society by working with people, populations and their data.
Our greatest asset is our people, working together to improve public health using evidence-based research.
We are a key applied and translational arm of the Edinburgh Medical School, within the College of Medicine and Veterinary Medicine at The University of Edinburgh. Working with partners across UK and international universities, health and care providers, policymakers, industry and the public is central to our highly collaborative ethos.
On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will therefore only be able to take up this role if they can demonstrate an alternative right to work in the UK.
