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Closing Date: 15-Jan-21

Fixed Term

The post holder will be a key member of the Data Analytics Research and Technology Research team led by Dr Athanasios Tsanas. They will: a) focus on the development and application of signal processing and statistical machine learning techniques to mine electronic health records on asthma data and gain new insights towards assessment, adherence, and longitudinal monitoring; and b) engage with the clinical collaborators to facilitate translation of findings into clinical practice.

This Research Fellowship is funded by Asthma UK, through AUKCAR (www.aukcar.ac.uk), a virtual centre comprising a network of Universities across the UK, led by the University of Edinburgh and Queen Mary University of London. Our vision, aligned with that of Asthma UK, is a world where asthma attacks do not happen. Our research focuses on developing, testing and implementing interventions which have the potential to achieve substantial, sustained reductions in asthma morbidity and mortality. The AUKCAR Postgraduate Training Programme aims to enrol the most exceptional candidates and nurture them to become the next generation of leaders in world-class applied asthma research.

Informal enquiries may be directed to Dr Athanasios Tsanas, Senior Lecturer.

Salary: UE07 £33,797 – £40,322

Further Information

Closing Date: 15-Jan-21

Fixed Term, 3 years,  Full Time (35 hours per week)

The Advanced Care research Centre (ACRC) is a new, £20million programme led by University of Edinburgh and funded by Legal and General in collaboration with the Universities of Edinburgh and Newcastle. ACRC will research and develop innovative solutions for the care of people in later life, contributing to tackling the global challenge of promoting and maintaining ‘healthy ageing’. Central to the ACRC approach is a commitment to working in partnership with people in later life, their families and communities, and to creating a sustainable, UK-wide collaboration to ensure excellence and impact. ‘Understanding the Person in Context’ is one of seven work-packages and is providing longitudinal, mixed-methods research to the programme; the post sits within this work-package.

This component of research involves the concept of ‘personal projects’ and their analysis. It will draw on projective approaches to understanding people and their relationship with place, as well as social-ecological approaches to understanding links between environment and behaviour. Personal projects are the self-generated and purpose-oriented activities an individual is doing or planning to do (originally developed by psychologist Brian Little). By examining people’s personal projects and their social and physical environmental context, we can better understand what contributes to meaningful quality of life for individuals. By exploring the environmental contribution to these projects, for good or ill, we can understand how better to support projects that are core to people’s sense of self and ability to flourish.

Salary: UE07 £33,797 - £40,322

Further Information

Closing Date: 15-Jan-21

The Centre of Medical Informatics at the Usher Institute within The University of Edinburgh is looking for an experienced data scientist to conduct original research as a key member of the British Heart Foundation (BHF) and Alan Turing Institute funded project “Uncovering retinal microvascular predictors of compromised brain haemodynamics in small vessel disease” aimed at discovering associations between the compromised brain haemodynamics observed in small vessel disease (SVD) and retinal vascular phenotypes derived from optical coherence tomography angiography (OCTA) images.

The successful candidate will be able to capitalise on data already acquired in two ongoing longitudinal studies on cerebral SVD and over a decade of experience in retinal image processing in Edinburgh. Co-PIs Wardlaw and Bernabeu are internationally recognised experts in SVD and cardiovascular mathematical modelling, respectively.

The successful candidate will conduct original research, centred around a) establishing a standard for OCTA image segmentation with particular emphasis on its robustness and applicability to routinely acquired data, b) developing novel metrics to characterise the structure and temporal evolution of microvascular networks based on the principles of Network Science and Machine Learning, c) investigating associations between OCTA-derived retinal microvascular phenotypes and compromised brain haemodynamics (cerebrovascular reactivity, cerebral blood flow, and blood brain barrier leak as well as cross-sectional and longitudinal lesion and diffusion tensor imaging changes).

​​​Salary: UE07 £33,797 - £40,322

Further Information

Closing Date: 27-Jan-21

BREATHE – The Health Data Research Hub for Respiratory Health at the Usher Institute within The University of Edinburgh is seeking to recruit a Project Manager, Strategic Partnerships.  This role would suit a candidate who seeks a new challenge, has a high level of professionalism and is extremely well organised. The post holder will be a self-starter who would operate comfortably within a remote working environment.

The postholder will lead development of interactions between the Hub and its partners, including in industry, NHS and academia. The position will contribute to the development of the Hub’s Partnerships and Sustainability platform of work and will support the Platform Lead to achieve objectives.

Main responsibilities will include, developing collaborative and sustainable networks with multiple stakeholders, managing the operational efficiency of the platform i.e. through engagement plans, and providing meaningful visibility to the Hub partners. 

Launched in October 2019, BREATHE is one of seven Health Data Research Hubs across the UK. Coordinated by Health Data Research UK, the Hubs are part of a four-year £37.5million investment from UK Research and Innovation's Industrial Strategy Challenge Fund.

Salary: UE07 £33,797 to £40,322

Further Information