Professor / Associate Professor / Assistant Professor, School of Chinese Medicine
SCHOOL OF CHINESE MEDICINE
Teaching and Research Division
The School of Chinese Medicine was established in 1999 and offers comprehensive education programmes in Chinese medicine, including both undergraduate and postgraduate degree programmes in Chinese Medicine and Pharmacy in Chinese Medicine. The School engages in a wide range of research projects, provides Chinese medicine healthcare services to the community, and seeks to foster the modernisation of the Chinese medicine profession. To consolidate the strengths of innovative research, the School has established eight high quality theme-based Research Centres equipped with advanced equipment and facilities.
The highlighted strategic research areas in the School include
- Precision medicine and phenomics study;
- Translational medicine and innovative drug discovery; and
- Authentication and testing of Chinese medicines.
Professor / Associate Professor / Assistant Professor (PR0632/21-22)
Massive amounts of data, including chemical, pharmacological and clinical data, have been piled up through the decades’ research efforts in Chinese medicines and natural products. Wisely exploiting the available mega data and the chemical structure information of diversified natural products can revolutionarily promote the next generation of drug discovery and development. The use of computer-aided approaches can facilitate multiple steps in the modernisation of Traditional Chinese Medicine (TCM) and novel drug discovery, including but not limited to identification of disease modulating target protein, molecular docking, hit-to-lead conversion and lead optimisation using QSAR models and cheminformatics, and the prediction of drugs’ pharmacokinetic properties, safety, efficacy and adverse effects.
To strengthen the research capacity, power the current research disciplinaries of SCM and keep up with the evolving global research environment of TCM, SCM is hiring a full-time faculty member at Assistant Professor level or above related to computational chemistry. The computational chemistry expert, preferably with research experience in Chinese Medicine-related projects, will interact closely with the current faculty members on collaborative research projects to bring breakthrough efforts in the modern Chinese medicine research field.
Research activities of the faculty member may include (but not limited to):
- Applying new software and hardware capabilities for data collection and analysis in the preclinical and clinical research of traditional Chinese Medicine;
- Performing and interpreting statistical analysis on the large datasets related to Chinese Medicine;
- Developing computer models and simulations of chemical and biochemical processes for Chinese herbal medicines;
- Using computation-assisted methods to discover and characterize novel drugs;
- Creating visual representations of reaction pathways, molecular interactions, or other phenomena for the actions of Chinese medicine constituents and compounds;
- Characterising novel Chinese herbal medicine compounds and processes to support patent claims; and
- Helping to develop synthesis processes of interested Chinese medicine-related compounds.
Candidates should possess a PhD degree in Chemistry or related areas and relevant postdoctoral training with experience in and a strong understanding of bioinformatics, computational drug discovery and translational research. Preference will be given to candidates with appealing external grant records, outstanding publication and leading potential of innovative therapeutic intervention. The appointee is also expected to teach subjects at both undergraduate and postgraduate levels, establish a vigorous research program in the areas of interest, and develop research cluster by collaborations within and outside the School.
The initial appointment will be offered on a fixed-term contract of up to three years. Re-appointment thereafter will be subject to mutual agreement.
Rank and salary will be commensurate with qualifications and experience.
Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with the PR number (stated above) quoted on the letters, to the Human Resources Office (Email: email@example.com) direct. Those who are not invited for interview 4 months after submission of application may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics.
The University reserves the right not to make appointments for the post advertised, and the appointments will be made according to the terms and conditions applicable at the time of offer.
Review of applications is ongoing until the position is filled.