Wayne State University

Job Description FACULTY OF ARTS AND SOCIAL SCIENCES ACADEMY OF WELLNESS AND HUMAN DEVELOPMENT Professor / Associate Professor / Assistant Professor in Social Work (25260796) The Academy is dedicated to developing high-quality research that addresses social problems, and to engage in evidence-based research to inform macro and micro practice in social work and counselling. As a training institution, the Academy is committed to delivering high-quality education and training in social work, social policy and counselling and in related disciplines at both undergraduate and postgraduate levels. The prospective scholars are encouraged to participate and contribute by means of research, training and consultation to the professional community in Hong Kong. The appointee is expected to conduct cutting-edge academic research, contribute to academic programme development and assume high-level service and administrative responsibilities. We are looking for outstanding candidates who can complement or add to our existing strengths in social gerontology, healthy aging, life course, mental health; application of innovative approaches in practice; smart society and wellbeing; and macro practice. Candidates who have expertise in one or more of the above areas are encouraged to apply to contribute to the advancement of the Academy/Faculty. Applicants should possess a relevant doctoral degree, a proven track record of impactful research and tertiary teaching experience. They should also have substantial publication record in international refereed journals consistent with the candidate’s academic rank, evidence of potential for securing research funding, and demonstrate strong abilities in teaching undergraduate and postgraduate level and graduate research mentoring.  This is a tenure-track position with initial appointment on a fixed-term contract of two to three years commencing January 2027. Re-appointment thereafter will be subject to performance. Tenured appointment is expected to be attained within six years.  Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for interview 4 months after submission of application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Closing date: 31 August 2026

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills.

Job Description FACULTY OF ARTS AND SOCIAL SCIENCES ACADEMY OF WELLNESS AND HUMAN DEVELOPMENT Senior Lecturer / Lecturer I / Lecturer II (Social Work) (25260797) The appointee is expected to teach courses, supervise students' projects and to coordinate fieldwork/ programme administration at undergraduate level or above. Requirements: A PhD degree, plus a qualifying degree in social work with Registered Social Worker (RSW) qualification; Five years of direct social work practice and fieldwork supervision experiences; and Proficiency in both English and Chinese (including Putonghua). The initial appointment will be offered on a fixed-term contract of one to two years commencing as soon as possible. Re-appointment thereafter will be subject to performance review, mutual agreement and availability of funding. Rank and salary will be commensurate with qualifications and experience.  Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for interview 4 months after submission of application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Closing date: 31 August 2026