Research Fellow
hace 21 horas
Edinburgh
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)”, ). The post holder will be a key member of the Data Analytics Research and Technology Research group (DARTH, ) led by Prof. Athanasios Tsanas, and the AMBIENT-BD project team (). They will: • 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;, • work on sleep datasets exploring the relationship of sleep and mental health; and, • 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 ( ) 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 (opens new browser tab) for further information and use our reward calculator to find out the total value of pay and benefits provided. 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 right to work webpages (opens new browser tab ). 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. About Us As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally. About The Team The Usher Institute sits within the College of Medicine and Veterinary Medicine at The University of Edinburgh. We are also the Health and Social Care Data-Driven Innovation Hub, part of the Edinburgh and South East Scotland City Region Deal. The Usher Institute is a key applied and translational arm of the Edinburgh Medical School, within the College of Medicine and Veterinary Medicine at the University of Edinburgh; offering significant expertise in health services research, health informatics, data science and social science. We strive for and work towards the data-enabled transformation of health. For more information, visit the Usher Institute website ( ) (opens in a new browser tab) School of Population Health Sciences Transforming health in society by working with people, populations and data. The School of Population Health Sciences sits within the College of Medicine and Veterinary Medicine at The University of Edinburgh. The School of Population Health Sciences is a key applied and translational arm of the College of Medicine and Veterinary Medicine at the University of Edinburgh; offering significant expertise in health services research, health informatics, data science and social science. We are also the Health and Social Care Data-Driven Innovation Hub, part of the Edinburgh and South East Scotland City Region Deal. We strive for and work towards the data-enabled transformation of health. About The College Of Medicine And Veterinary Medicine The College of Medicine and Veterinary Medicine (CMVM) is home to six Schools which in turn host five world-leading research institutes; the Institute of Genetics and Cancer, the Usher Institute, the Institute for Regeneration and Repair, the Roslin Institute and the new Institute for Neurological and Cardiovascular Sciences. The teams in the six CMVM Schools work together to build outstanding discovery and translational research programmes designed to answer the major challenges facing humanity, animal and planetary health, now and in the future. Our undergraduate and postgraduate teaching is delivered through Edinburgh Medical School and the Royal (Dick) School of Medical Studies with contributions from all six schools.