Post-doctoral Research Fellow conducting research on data analytics methods for bipolar disorders. Part of the University of Edinburgh’s Centre for Medical Informatics team.
Responsibilities
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.
Develop and apply signal processing and statistical machine learning techniques to mine self-reports and sensor data.
Work on sleep datasets exploring the relationship between sleep and mental health.
Engage with clinical collaborators to facilitate translation of findings into clinical practice.
Requirements
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.
Benefits
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.
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