Laboratory of Data Discovery for Health Limited
Applications are invited for appointment as Non-Tenure Track Assistant Professor in the Laboratory of Data Discovery for Health (Ref.: D501979), to commence as soon as possible, on a three-year fixed-term basis with the possibility of renewal, subject to satisfactory performance and funding availability.
Applicants should possess a Ph.D. degree or equivalent in artificial intelligence, big data, computer science or a related discipline. They should demonstrate (i) evidence of international recognition and scholarship; (ii) the ability to work across disciplines towards new research initiatives; (iii) a strong track record of high-quality research as indicated by publications and external grants; and (iv) a strong commitment to engage students in inquiry-based learning at postgraduate level.
The appointee will lead an innovative and well-funded research group that is open to interdisciplinary collaboration, with an aim to collate and curate massive, unique data resources and to develop novel, deep, frontier analytics in improving global public health. He/She will teach public health courses relevant to infectious diseases, epidemiology and biostatistics, in addition to supervising junior research staff and students. In the course of career development, the appointee is expected to contribute to the School's strategic developments in academic and research collaborations locally, regionally and internationally.
Applicants should apply online and upload an up-to-date C.V.
To Apply: Please use the "Apply" Button Below or see the Job Description Above
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