Bunkyo Gakuin University

Tenure-Track Professor/Associate Professor/Assistant Professor in HKU Business School and the School of Computing and Data Science Ref.: 536106 Work type: Full-time Department: Faculty of Business and Economics (07030) Categories: Professoriate Staff Applications are invited for a joint appointment as Professor/Associate Professor/Assistant Professor in Statistics in HKU Business School and the School of Computing and Data Science, to commence as soon as possible. Appointment will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year contract. Exceptionally outstanding candidates at Professor/Associate Professor level may be considered for appointment on tenure terms. HKU Business School HKU Business School is a leading business school in Asia, offering a full range of undergraduate, taught postgraduate, MBA, EMBA and research postgraduate programmes. It is ranked 1st in Asia and 6th globally in the 2025 UTD Business School Research Ranking, and 1st in Asia and 11th globally in the 2026 Financial Times Research Ranking. The School has a strong cohort of academic staff across six academic areas and provides a vibrant environment for high‑impact research and education. The School is committed to excellence in research and teaching, and to fostering impactful scholarship that serves Hong Kong, the Greater Bay Area, China and the world. Further information about the School can be found at https://www.hkubs.hku.hk/. The School of Computing and Data Science The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. CDS is ranked 18th globally in Data Science and Artificial Intelligence, 21st in Computer Science and Information Systems, and 32nd in Statistics and Operational Research in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk. We are seeking outstanding scholars whose research and teaching lie at the interface of modern statistical methodology, artificial intelligence and data science, and who can contribute to cross-disciplinary collaborations between HKU Business School and the School of Computing and Data Science. The appointee will have their tenure home in HKU Business School (Statistics Group), and will be jointly appointed to the School of Computing and Data Science.  As an AI+Business hire, the appointee is expected to develop a creative and impactful programme of research and teaching that integrates advanced statistical methods and AI with business, economics, and insurance and to play a leading role in fostering collaborations across the two units. The Statistics Group in the Innovation and Information Management (IIM) Area at HKU Business School The Statistics Group in the IIM Area at HKU Business School focuses on statistics and business analytics. The Group’s main research interests span the frontiers of modern statistical methodology and applications, including (but not limited to) machine learning, artificial intelligence, high-dimensional statistical inference, functional data analysis, time series analysis, econometrics, factor models, and privacy protection. The Group’s research is widely applied in areas such as healthcare and bioinformatics, service engineering, financial markets, educational assessments, and psychological measurement. The appointee is expected to complement and strengthen these areas, and to contribute to the Group’s growing portfolio of AI- and data-driven business analytics research. Duties The appointee is expected to: develop and maintain a vigorous, high-quality research agenda with a strong AI and data science component; publish in leading peer-reviewed journals and present at major international conferences; seek and secure external competitive research funding; contribute to teaching at undergraduate and postgraduate levels in statistics, data analytics and related areas, including AI-rich programme offerings; supervise research postgraduate students; and undertake service and administrative duties in HKU Business School, the School of Computing and Data Science, and the University as appropriate. Those appointed at Professor/Associate Professor level will also be expected to mentor and nurture the next generation of scholars and researchers, and assume high-level service/administrative responsibilities. Qualifications Applicants should possess a Ph.D. in Statistics, Data Science, Computer Science, Econometrics or a closely related field. The ideal candidate will: demonstrate a robust research record in statistics and/or machine learning, with applications in business, economics, finance, insurance or related areas; show evidence of, or potential for, cross-disciplinary research that bridges statistics, AI and business; exhibit a strong commitment to excellence in both research and teaching; and for appointment at Professor/Associate Professor level, have an international reputation and proven academic leadership in their field. 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.  Housing benefits will be provided as applicable. How to apply The University only accepts online applications for the above post. Applicants should apply online and upload: (i) a cover letter explaining their fit for a joint appointment and outlining how they can contribute to cross‑disciplinary teaching and research that bridges statistics, AI and business; (ii) a curriculum vitae; (iii) a research statement (including current and planned collaborations with both business and data science communities); (iv) a teaching statement (including experience or plans in AI‑rich and interdisciplinary curricula); and (v) 2 or 3 of their most significant research publications, together with the names and contact information of at least three referees who can comment on their research, teaching and collaborative track record. Review of applications will commence as soon as possible and continue until June 30, 2027, or until the posts are filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Advertised:Apr 27, 2026 (HK Time) Applications close:Jun 30, 2027 (HK Time)

Manchester Metropolitan University is ambitious, values‑driven and forward‑looking. Recently named Times and Sunday Times Modern University of the Year 2026 and recognised nationally for student satisfaction, outstanding research strengths, sustainability and colleague experience, the University is making significant investments in its people, estate and research capacity as part of its Road to 2030 strategy. The University is now seeking an exceptional academic leader to become its next Faculty Pro‑Vice‑Chancellor for Arts and Humanities. This is a rare opportunity to lead one of the UK’s largest and most distinctive arts and humanities faculties and to build something visible, lasting and impactful at scale, as a key part of the University’s Executive Team. The Faculty of Arts and Humanities is a bold and diverse intellectual community spanning art and design, digital arts, architecture, fashion, English, history, politics, philosophy, sociology and criminology. With over 700 academic colleagues and around 11,500 students, it combines scale with quality. Multiple disciplines deliver consistently strong National Student Survey outcomes, Art and Design and English are ranked in the top ten nationally for research power in REF 2021, and there is an overarching culture of collaboration that translates ideas into real‑world impact. As Faculty Pro‑Vice‑Chancellor, you will have the scope to shape a compelling, long‑term vision, identifying opportunities for growth, investment and innovation. You will bring pace and clarity to a complex and diverse portfolio, aligning schools around a unifying strategy to accelerate performance and ensure the Faculty is well positioned for the next decade. By leveraging both scale and place you will maximise its role within Greater Manchester and the wider North West, and extend its influence both nationally and internationally. To achieve this we are seeking an outstanding academic leader, an individual with superb communication skills, a research profile of international renown, a deep understanding of contemporary higher education, and a demonstrable track record of leading complex academic communities in the Arts and Humanities domains. We are committed to equity, diversity and inclusion and warmly encourage applications from candidates from underrepresented groups. Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from all local and international communities, including Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals. For further information and details of how to apply, please visit www.odgers.com/95892 Closing date: 5pm on Friday 29 May 2026. Final Interview date: Thursday 16 July 2026 Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from all local and international communities, including Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals. We support a range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in your role, please let us know so we can provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups. Manchester Met is a Disability Confident Leader and, under this scheme, aims to offer an interview to disabled people who apply for the role and meet the essential criteria as listed in the attached Job Description for that vacancy. 

Level 10: Attractive executive remuneration package available Fixed term (5 years) / Full time appointment The University of Wollongong Research Infrastructure Division is a newly centralised unit marking UOW's commitment to transforming and optimising its major research infrastructure assets. This newly centralised division significantly improves the accessibility, efficiency, manageability, and financial sustainability of these critical resources, with a future view to incorporating additional research capabilities under its unified oversight. It achieves this by providing strategic leadership, university-wide coordination, and expert oversight of key operational teams and facilities including the Cryo-Electron Microscopy Facility, Electron Microscopy Centre (EMC), and Fluorescence Analysis Facility. Ultimately, this re-envisioned division ensures that UOW's world-class research infrastructure directly underpins and accelerates the University's research strategy and priorities for both internal researchers and external partners. About the role: We are seeking a senior leader to provide strategic and operational oversight of the University’s central microscopy facility, including advanced technologies such as cryo‑electron microscopy. This role leads specialist scientific and technical teams, ensures efficient and compliant operations, and drives innovation by maximising facility performance, utilisation and access for the University and external research community. This position suits a leader with deep technical expertise and strong operational capability, including those with an academic research background looking to transition into senior management of a world-class microscopy facility. About you: You hold a PhD or equivalent qualification in a relevant scientific discipline and bring extensive experience in advanced microscopy, including high‑level technical expertise in cryo‑electron microscopy. You have strong experience across instrumentation, sample preparation, and data and image processing, alongside a solid background managing complex research facilities. You’re an experienced leader who can grow and support diverse user communities, manage specialist scientific and technical teams, operate within compliance‑driven laboratory environments, and oversee budgets and cost‑recovery models. You have an enthusiasm for enabling world-class research, communicate effectively with researchers, academics, industry partners and suppliers, and foster a strong culture of safety and collaboration. How to apply Applicants are required to submit a cover letter detailing their skills, qualification and experience in relation to this position, along with an up-to-date CV. For a confidential discussion or further information regarding this opportunity, please contact Heath Ecroyd, Interim Pro Vice-Chancellor (Research Infrastructure) via email: heathe@uow.edu.au  Position description Closing date: 11.55pm 24 May 2026 As required by federal legislation, prospective employees are required to declare whether they have been investigated for an allegation of Gender based Violence, or determined to have engaged in conduct that constitutes Gender based Violence, during their previous employment, or otherwise in a legal process. Any such declaration will be included in the University’s employment screening processes and will be treated with the strictest confidence and in compliance with all privacy legislation.