Research Assistant supporting an academic research project on AI and employee identity through literature review and data collection activities.
About the role
- 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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