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Fresher
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  • Posted 11 hours ago
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Job Description

The Department of Psychiatry is seeking motivated Postdoctoral Fellow(s) to contribute to research in digital and computational psychiatry. The appointee(s) will work on clinical trials and real-world studies involving artificial intelligence (AI)-based interventions and assessments, with a particular focus on mental health and sleep research.

Applicants should have (i) a Ph.D. degree in Medical Science, Psychology, Social Work, Counselling, Healthcare, Data Science, or a related discipline (ii) an interest in interdisciplinary research and experience with, or willingness to work with, cutting-edge AI technologies, data science, and advanced statistical methods in psychiatric research (iii) strong organisational skills and the ability to work reliably and efficiently (iv) the ability to make independent and original research contributions while working collaboratively within a multidisciplinary team (v) good interpersonal, communication, and project management skills and (vi) enthusiasm for research and clinical translation, particularly in mental health and sleep health.

The appointee(s) will be responsible for (a) contributing to the planning and implementation of research activities (b) conducting clinical trials, experiments, and real-world studies (c) undertaking research projects in collaboration with a multidisciplinary team (d) maintaining research databases, study documentation, and research protocols (e) conducting statistical and/or computational analyses and (f) preparing research reports, conference presentations, and manuscripts for publication.

Appointment will initially be made on contract basis for three months commencing as soon as possible, renewable subject to mutual agreement.

For more information about the Department, please visit the Department of Psychiatry website. For enquiries, please contact Dr. Tim Li at .

The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit .

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Key Skills

advanced statistical methods