Research / Project Positions

The appointee will be responsible to assist with the administrative and coordination of the research project. Tasks include: (a) making arrangement to ensure a smooth research study; (b) collecting data and conducting data analysis; (c) preparing reports; and (d) performing other assigned duties.

Applicants should have (i) a bachelor's degree in nursing, health science, gerontology, mental health or psychology; (ii) 3-4 years of research experience and knowledge of qualitative research; and (iii) some working experiences in gerontology and long-term care settings.

Salary will be commensurate with qualifications and experience.

Apart from conducting research, securing external research grants, and undertaking research and scholarly tasks as the main duties, the appointee shall also be responsible for staff training in learning management system, and other assigned duties.  

Applicants should have (a) an earned and recognized Doctorate degree in either chemistry, biochemical sciences, material sciences or relevant disciplines; (b) previous experiences in handling biochemical research or pedagogic research, and (c) relevant teaching / professional / research experiences. Preference will be given to those with doctoral degree having teaching experience in degree programmes / proven research record.

Salary will be commensurate with qualifications and experience.

Apart from conducting researches, securing external research grants, and undertaking research and scholarly tasks as the main duties, the appointee shall also be responsible for teaching in related areas, and other assigned duties.  

Applicants should have (a) an earned and recognized Doctorate degree in either nursing, health sciences, mental health, psychology or relevant disciplines; (b) previous experiences in handling qualitative research or in gerontology and long-term care, and healthcare issues, and (c) relevant teaching / professional / research experiences. Preference will be given to those with doctoral degree having teaching experience in degree programmes / proven research record. Less experience will be considered as Research Associate / Research Assistant.

Salary will be commensurate with qualifications and experience.

The appointee will assist the Principal Investigator in all research related activities, include (i) arranging and conducting survey questionnaires, interviews & focus groups with parents; (ii) conducting data analysis of the quantitative data and qualitative verbatim transcription; (iii) assisting in drafting operational manuals, forms, templates and reports; (iv) drafting research manuscripts for presentation/publication in conferences/journals; (v) performing other tasks as assigned.

Applicants should have (i) a Bachelor's degree, preferably with a Master's/MPhil degree in Social Sciences or a related discipline; (ii) solid training and experience in research methods, using SPSS software; (iii) excellent English and Chinese proficiency.

An appointment will initially be made on a contract basis, it will be renewable subject to good performance and mutual agreement.

Salary will be commensurate with qualifications and experience.

The appointee will be responsible (a) to provide the administrative support and assist the event coordination for the School such as research symposium; (b) to support and organize the marketing and promotional activities; and (c) to perform any other duties as assigned by the supervisor.

Applicants should have (a) a recognised Bachelor's degree in any discipline, with 1-2 years relevant event coordination experience. Preference will be given to those with experience in tertiary education sector. Fresh graduates are welcome to apply; (b) good computer knowledge; (c) good command of written & spoken English and Chinese (Cantonese and Putonghua); (d) be responsible, independent, detail-oriented, good team player and willing-to-work attitude; (e) good communication and interpersonal skill.

Salary will be commensurate with qualifications and experience.

The appointee will be responsible for (a) deliverance of Narrative Therapy intervention; and (b) lead together with a team of other NT practitioners as the therapists for the intervention groups.

Applicants should (a) have a recognised PhD degree, a Principal Student Guidance Officer is an advantage; (b) experienced Marriage and Family Therapist with clinical fellow and approved supervisor designation with the American Association for Marriage and Family Therapy; (c) experienced in using narrative therapy with Chinese students and has conducted the NTG initial pilot study with early adolescents; and (d) registered social worker with over 250 hours of NT training and practical experience.

Salary will be commensurate with qualifications and experience.

The appointee will be responsible to provide support to a research project investigating the mechanisms involved in feeding and general homeostasis as secondary measures affected by nausea and vomiting. This project offers a unique opportunity to work at the intersection of pharmacology, Artificial Intelligence, and machine learning to advance our understanding of pharmacology. Appointment will be made on a contract basis for 6 months, renewable subject to funding availability and satisfactory performance.

Applicants should (a) have a recognised Bachelor's degree or above in Pharmacology, Biomedical Science or a related discipline; (b) have relevant knowledge of machine learning and data analytics. Preference will be given to those with experience in animal surgical procedures, histological and molecular techniques; (c) have relevant experience with AI and Deep Learning frameworks; (d) be able to work independently, attention to detail with positive working attitude; and (e) have good communication skills and fluency in English and Chinese.

Salary will be commensurate with qualifications and experience.

The appointee will play a key role in supporting a research project focused on Services and Inclusive Learning and Creative Model for the Visually Impaired Community. Working closely with the Principal Investigator and the research team, the appointee will be responsible for various tasks, including administrative tasks, data collection and analysis, conducting literature reviews, organizing workshops and events, carrying out interviews. Additionally, the Research Assistant may be required to assist with other related tasks as needed. The ability to work independently and demonstrate proficiency in Cantonese is essential.

Applicants should have (a) a recognized Master's degree in humanities and social sciences field; (b) solid research experience; (c) excellent communication and interpersonal skills; (d) positive attitude and ability to work well in a team; (e) proficiency in both written and spoken Chinese; (f) proficiency in computer applications; (g) experiences in working with the visually impaired community and their services; and (h) knowledge and experience in sight guide techniques and audio description.

Salary will be commensurate with qualifications and experience.

The appointees will be responsible for various tasks relating to the Chinese culture project, which include (a) coordinating research design; (b) overseeing data collection and analysis; (c) writing academic publications and reports; (d) editing book series and academic journals; (e) teaching courses in language, culture, general education, or translation technology; and (f) performing other duties as assigned.

Applicants should have (a) a doctoral degree in the humanities, computer science, or other related fields; (b) strong background in research; (c) ability to work independently; (d) proficiency in writing in English and Chinese; (e) proficiency in communication and presentation skills; and (f) ability to teach language, culture, general education, or translation technology courses.

Salary will be commensurate with qualifications and experience.

The appointee will be responsible to assist various tasks for the research projects. Tasks include: (a) programming and developing technologies for research projects; (b) assisting the work of system construction and maintenance of the project; (c) assisting teaching activities and providing supports for the research activities of the School; and (d) performing other duties as assigned.

Applicants should have (a) a bachelor's degree or master's degree in computer science or relevant fields; (b) familiarity with database management tools (such as SQL, MS Access, etc.); (c) knowledge and skills of programming (such as Python); (d) proficiency in image technology; and (e) able to work independently.

Salary will be commensurate with qualifications and experience.

The appointees will (a) assist the work of painting, drawing, animation, video production, and photography relating to the Chinese culture project; (b) assist the work of data collection and analysis; and (c) perform other duties as assigned.

Applicants should have (a) a bachelor's degree or master's degree in the humanities or relevant fields; (b) knowledge and skills of computer graphics; and (c) have good communication skills and sense of responsibility.

Salary will be commensurate with qualifications and experience.

The appointee will be responsible for assisting the research in the following FDS projects:

Robust Graph-based Clustering: From Shallow to Deep [UGC/FDS11/E02/22].

The tasks include preparing training dataset, designing and implementing the machine learning models and algorithms, performing ablation and comparison experiments, and conducting user studies, etc.

Appointment will be made on a contract basis for 3-12 months commencing at earliest convenience.

Salary will be commensurate with qualifications and experience.

The appointee will assist the Principal Investigator to (a) collaborate with the research team to design and conduct experiments related to electrostatic precipitators for indoor air purification; (b) develop and implement IoT-based monitoring systems to assess air quality parameters; (c) collect and analyze data to evaluate the performance of the electrostatic precipitators and propose improvements; (d) contribute to the publication of research findings in scientific journals and present results at conferences; and (e) work closely with the project lead and team members to ensure the project's objectives are met.

Applicants should (a) be a fresh graduate in computer science from a local university; (b) have strong background and expertise in the field of engineering; (c) be familiarity with IoT (Internet of Things) technologies and their application in environmental monitoring; and (d) be proficient in data analysis and scientific software.

 Salary will be commensurate with qualifications and experience.

The appointee is required to work as a team member in conducting research studies within the School. Duties include conducting literature review, data collection and analysis, report writing and supporting all matters related to the research projects.

Applicants should (a) have a recognized bachelor degree or above in social sciences or relevant disciplines; (b) have good knowledge and research skills in both quantitative and qualitative research methodologies and data analysis; (c) have good computer knowledge; SPSS, MPLUS (in multilevel CFA and Rasch Modelling) are necessary; (d) have good command of both written and spoken in English and Chinese (including Cantonese and Putonghua); (e) have good interpersonal and communication skill; and (f) be able to work independently.

One candidate will be appointed for each of the three different disciplines of Accounting & Finance / Corporate Administration; Entrepreneurship / Management; and Hotel & Tourism / Marketing. Each of them will assist in administrative and coordinating work of (a) research project(s). Tasks include: (a) conducting literature review; (b) collecting and analysing data; (c) managing and updating databases; (d) preparing reports; and (e) others as assigned.

The appointee will be responsible to assist staff members within the School to conduct administrative and coordinating research activities and research projects. Tasks include: (a) literature search, (b) coordinating research work, (c) collecting data and conducting data analysis; (d) preparing reports; and (d) performing other duties as assigned.

Applicants should have (i) at least a bachelor's degree in nursing, health science, allied health backgrounds, or statistics-related qualifications; (ii) 3-4 years of research experience and knowledge of quantitative research, and prior experience of conducting statistical analysis are preferred.

The appointee will be responsible for assisting the research of Artificial Intelligence Research project (ITBG190103).

The tasks include algorithm design, training data preparation, implementing the designed algorithms and so on. Appointment will be made on a contract basis for 3-12 months commencing at earliest convenience.

Applicants should

(i) have a bachelor's degree or above in Computer Science, Information Technology or related disciplines;

(ii) have experience in algorithm design, computer network, or deep learning the be able to work independently;

(iii) have good communication and interpersonal skills. Applicants with publication experience are preferred.

Salary will be commensurate with qualifications and experience.

Both projects involve academic and industrial values, and heavy study of Machine Learning technologies, including Deep Learning for engineering and scientific applications. The applicant must be interested in Machine Learning, with background and interest in Signal Processing, Video and Image Processing, Computer Vision and good at Python programming. Applicants who are good at GUI programming knowledge will certainly have advantage.

Appointees taking up these Research and Development projects will (i) conduct Research and Development work on the production of demonstration systems at industrial standard and also produce high-level research papers in international academic journals, on the above topics.

For Research Fellow (at the level of assistant professor in research), applicants should have (i) PhD degrees in Computer Science, Electrical Engineering or in related areas with the ability to conduct research independently in the above subject areas, (ii) strong technical English writing skills as evidenced by prior technical publications and (iii) good presentation skills as evidenced by prior experience to present technical papers.

For Research Associate/Research Assistant, applicants should have (i) master degree or BSc(Hons)/BEng(Hons) degree in the related areas or BSc(hons)/BEng(hons) degree with 1^st or 2.1 honors, with interest and studied subject areas in the above topics, (ii) strong intention to become a professional in Machine Learning. 

Note: (1) For PhD holders with insufficient experience in the subject area or without a sufficiently good related publication record may join the research initially as a Research Associate. (2) Appropriate candidates with a bachelor or master degree may be supported by the Institute to register for a PhD degree with a local or overseas university.

The appointee will be responsible to assist administrative and coordinating work for the research project. Tasks include: (a) arranging the research study; (b) collecting data and conducting data analysis; (c) preparing reports; (d) organizing seminars and workshops; (d) performing other duties as assigned.

Applicants should (i) have a recognised Bachelor's degree; (ii) have relevant research experience in the handling of data entry, transcription and utilizing SPSS software analysis; (iii) be able to work independently, attention to detail with positive working attitude; and (iv) have good communication skills and fluency in English and Chinese.

Salary will be commensurate with qualifications and experience.

The appointee will be responsible for assisting the research in one of the following FDS projects:

1) Deep Comic Screening via Tone-aware Semantic Layer Analysis [UGC/FDS11/E01/21]
2) Instance-aware Cartoon Stylization of Photo and Videos [UGC/FDS11/E02/21]
3) Chinese Calligraphic Animation Generation via Deep Stroke Segmentation and Contour-based Trajectory Identification [UGC/FDS11/E03/22]

 The tasks include preparing training dataset, implementing the designed algorithms, performing ablation and comparison experiments, and conducting user studies, etc.

 Appointment will be made on a contract basis for 6-12 months commencing at earliest convenience.

Applicants should (i) have a bachelor's degree or above in Computer Science, Information Technology or related disciplines; (ii) have experience in deep learning or image processing research and be able to work independently; (iii) be able to develop deep learning applications using the deep learning libraries, e.g., PyTorch, TensorFlow, etc.; and (iv) have good communication and interpersonal skills. Applicants with publication experience are preferred.

 Salary will be commensurate with qualifications and experience.