Imam Ja’afar Al-Sadiq University

Ref.: 533786 Work type: Full-time Department: School of Biological Sciences (26000) Categories: Professoriate Staff Applications are invited for appointment as Professor on tenure terms in the School of Biological Sciences (Ref.: 533786), to commence as soon as possible. Applicants should be established experts with an internationally recognized record of scholarship in Marine Conservation. They should possess a Ph.D. in Marine Science, Conservation Biology, Environmental Policy, or a closely related field, and demonstrate a strong research focus in one or more of the following areas: marine protected areas, marine spatial planning, policy and management, fisheries, and/or ecosystem-based conservation. A proven track record of securing competitive research funding and publishing high-impact research of regional and global relevance is essential. Particular expertise and research experience in Southeast Asia, with a focus on China, are required. The appointee will be a key member of the Swire Institute of Marine Science (SWIMS) at the University, providing academic leadership by developing a world-class research programme, mentoring junior staff and students, and contributing to teaching at both undergraduate and postgraduate levels. He/She will also serve as a key academic representative of the Hong Kong and China Marine Protection Alliances – cross-sector coalitions focused on marine conservation and sustainable use of marine resources at both local and national levels. Both initiatives are funded by the Swire Trust to coordinate and amplify marine protection efforts. Exceptional candidates may also be nominated for the endowed professorship – Swire Professorship in Marine Conservation. A highly competitive salary commensurate with qualifications and experience will be offered, together with the University’s contribution to a retirement benefits scheme up to 15% of basic salary. At current rates, salaries tax does not exceed 15% of gross income. Other benefits include annual leave, professional leave and medical benefits. Housing benefits will be provided as applicable.  The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V., a cover letter, a research statement, a teaching statement, and contact information of three referees. Review of applications will start as soon as possible and continue until March 22, 2026, or until the post is filled, whichever is earlier.

Ref.: 534005 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Teaching Staff Applications are invited for an appointment as Senior Lecturer in Computational Social Science and Digital Literacy (Ref.: 534005) in the Faculty of Social Sciences, to commence as soon as possible, on a two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. The Faculty of Social Sciences (FOSS) offers a wide range of undergraduate and taught postgraduate programmes that integrate quantitative, computational and social science approaches. The appointee will play a key role in advancing the Faculty’s offerings in Computational Social Sciences (CSS), Master of Social Sciences in Social Data Analytics (MSDA) and Maser of Public Administration (MPA). The appointee will contribute to teaching and curriculum development across undergraduate and postgraduate programmes, supervise graduate capstone projects, support programme operations (including admissions, recruitment, and digital promotion activities), advise students on their academic and professional development, and contribute to cross‑disciplinary collaborations within the Faculty and the University. Duties and Responsibilities The appointee will teach and coordinate the following courses (or their equivalents): Undergraduate (UG) Courses FOSS – Introduction to Computational Social Science  SOCI – Programming for Social Scientists  AILT – Digital Literacy Through a Social Sciences Lens Taught Postgraduate (TPg) Courses MSDA – Statistical Foundations  MSDA – Causal Inference in the Social Sciences  SOCI – Quantitative Research Methods Selection Criteria Applicants should possess a Master’s degree or above in Computational Social Science, Data Analytic Statistics, Sociology, Political Science, Public Policy or a relevant social science discipline with strong quantitative focus. Priority will be given to those with: The ability to teach Machine Learning, Programming (Python-based), Natural language processing and Social Network Analysis courses on modern computational social science methods at the graduate level; A track record of completed projects working with computational models and large-scale social science data; Post-qualification working experience in relevant professional or academic settings; Interdisciplinary teaching and research; and Experience working with persons from diverse social, cultural and linguistic backgrounds is expected, alongside excellent communication skills in English. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. How to Apply The University only accepts online application for the above post. Applicants should apply online, and upload (1) a cover letter; (2) an up-to-date CV; and (3) a teaching statement. Review of applications will start as soon as possible and continue until January 9, 2026, or until the post is filled, whichever is earlier.

Job Purpose 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.  The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to conduct applied AI research in visual generation models, agentic AI, focusing on applications in creative content generation.  Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Conduct applied AI research in visual generation models, agentic AI. Collaborate with industry partners to develop AI solutions to address real-world problems. Develop and maintain research prototypes and software. Publish impactful research findings and present work for knowledge sharing. Work independently, as well as within a team, to ensure high-quality delivery.  Job Requirements Have relevant competence in the areas of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.