Responsibilities:

• Conduct research to advance the field of digital healthcare and behavioural science
• Develop novel algorithms to predict health-related metrics from multimodal data, specifically wearables and smartphone sensors
• Publish research findings in reputable journals and conferences.
• Collaborate with experts to validate the clinical effectiveness of developed behavioural and machine learning models.

Qualifications:

• PhD or Master's degree in biomedical engineering or closely related field with a focus on wearables, neuroscience, behavioural science, cognitive psychology
• Proven track record of research in healthcare, preferably in behavioural science, cognitive science, neuroscience, wearables, ubiquitous computing, or biomedical engineering.
• Experience with Python and familiarity with machine learning frameworks like scikit-learn and PyTorch.
• Excellent communication skills for both technical and non-technical audiences.

How do I apply?

If you’re interested in this role, please email: [email protected] or reach out to us directly, thanks!