The Jockey Club School of Public Health and Primary Care is now inviting applications for the post of Postdoctoral Fellow/Research Associate to develop computational models to understand the risk factors of healthcare-associated infections and healthcare-associated infections caused by multi-drug resistant organisms, and triangulate new intervention strategies.Applicants should have (i) a PhD degree in a quantitative field, such as Data Science, Computational Biology, Mathematics, Computer Science, Statistics, or related field; (ii) strong quantitative skills, or demonstrate interest in developing skills in statistics and infectious disease modelling; (iii) strong organizational and communication abilities; (iv) fluency in both English and Chinese, with good proficiency in speaking Cantonese; (v) the capability to work independently and collaboratively as part of a team; and (vi) proactive initiative and a robust team spirit.Duties include (a) developing models to understand the transmissibility of infectious diseases; (b) developing models to understand the medium to long-term burden of infectious diseases across different spatial scales; (c) undertaking literature reviews; (d) leading in analysing data using statistical and data science techniques; (e) leading in writing reports, presentations, and publication of results and findings in the peer-reviewed journal; (f) generating research questions; (g) collaborating with researchers in other national and international institutions; and (h) performing other tasks as assigned by supervisors.The appointee will be based at the Jockey Club School of Public Health and Primary Care at the University and will develop computational methods to provide insights into the transmission of infectious diseases in clinical settings and transform our understanding of infectious disease transmission dynamics.Appointment will initially be made on contract basis for one year, commencing as soon as possible,renewable subject to good performance and mutual agreement.For further information about the above research opportunities, please contact Prof. Kwok by email at .