Kokushikan University

Ref.: 536261 Work type: Full-time Department: School of Public Health (22400) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Research Assistant Professor (RAP)/Post-doctoral Fellow (PDF) in Epidemiology or Biostatistics, School of Public Health (several posts) (Ref.:536261), to commence as soon as possible, on a two- to three-year fixed-term basis for RAP, or on a one- to three-year temporary basis for PDF. Applicants should possess a doctoral degree by research (Ph.D., D.Sc., Dr.P.H. or equivalent) in epidemiology, biostatistics, public health or related disciplines. They should have a strong quantitative background; experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis of large and complex datasets; excellent written and oral communication skills; and the ability to work independently as well as in collaboration with a multidisciplinary team. Proficiency in longitudinal analyses, multilevel modelling, data visualisation, and state-of-the-art statistical and epidemiological models would be an advantage. The appointees will be primarily responsible for applied and methodological work in epidemiological and/or statistical research, and will work with a large population-based cohort with over 46,000 participants in 20,000 households. They will conduct power/sample size estimation; generate tables and figures for reports and presentations; write scientific publications, grant proposals and reports; and assist in general administrative, operational and other duties as assigned. The focus of one of the posts will include The World Health Organization World Mental Health Survey Initiative and the Composite International Diagnostic Interview (CIDI), which is one of the largest cross-national mental health studies in the world. Those with relevant post-doctoral work experience and an excellent publication track record may be considered for appointment as RAP, and the appointee is expected to take up a leading role to oversee the cohort team. Enquiries about the duties of the posts should be sent to familyco@hku.hk. Information about the School can be obtained at http://sph.hku.hk. Those who have responded to the previous advertisement (Ref.: 533837) need not re-apply. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. For RAP, the appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. The University only accepts online applications for the above posts. Applicants should apply online and upload an up-to-date CV. Review of applications will start June 25, 2026 and continue until December 9, 2026, or until the posts are filled, whichever is earlier.

Salary: £38,784 - £43,482 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Academic, Construction, Digital, Engineering Job reference: REQ000563 Attachments: attachmentLecturer in Engineering (HE) -JDPS-June 26.pdf University College Birmingham is seeking an enthusiastic and knowledgeable Lecturer in Mechanical Engineering with expertise in Manufacturing and Automation. This role is ideal for an academic or industry expert who is passionate about shaping the future workforce in advanced and technology-driven engineering sectors. We are particularly interested in candidates with experience or research interests in areas such as advanced manufacturing processes, automated production systems, robotics, Industry 4.0 technologies, digital manufacturing, materials processing, CAD/CAM, or related fields. Our Engineering department benefits from modern, industry-standard facilities, including laboratories for: Smart factory and Industry 4.0 applications Robotics, pneumatics, and hydraulics Programmable Logic Controllers (PLCs) and automation Microprocessors and embedded control technologies About the Role You will play a key role in planning, developing, and delivering inspiring and inclusive learning opportunities for students at undergraduate and postgraduate levels. You will contribute to modules in areas such as: Mechanical and manufacturing engineering Advanced/automated/digital manufacturing and production systems Robotics, control systems, and automation CAD/CAM and digital engineering Industry 4.0 technologies and related technical subjects You will also support learners through project supervision, academic guidance, and engagement activities, helping them to achieve their personal and professional goals. This role is ideal for someone passionate about engineering and education, eager to contribute to curriculum development, and keen to join a dynamic and collaborative academic team. Qualifications & Experience We welcome applicants from academic and industrial backgrounds. You should have: A degree in Mechanical Engineering, Manufacturing Engineering, Automation, or a closely related discipline (essential) A postgraduate qualification (Master’s degree or equivalent) in a relevant area (essential) Relevant industry or research experience in manufacturing, automation, robotics, Industry 4.0 or related fields. A teaching qualification and/or professional body membership (IMechE, IET, Advance HE) is advantageous or can be gained once in post. Standard Information UCB is an equal opportunities employer. University College Birmingham is proud to be TEF rated Silver, with a Good Ofsted rating UCB has achieved the Investors in Diversity Bronze Award. You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work. All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement. All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.

Play a pivotal role in providing senior leadership for the Discipline's academic and research performance, strategy, and growth Fixed term (3 year) contract for Assistant Associate Dean underpinned by an ongoing Senior Lecturer/Associate Professor/Professor position Remuneration for Academic Level C ($146,897-169,387) or Academic Level D ($176,883 - $194,868) or Academic Level E ($227,847) About the Role The Assistant Associate Dean (AAD) is a key leadership role within the School of Computing Technologies, offering the opportunity to shape the direction and success of the Data Science & Artificial Intelligence (DSAI) Discipline. Working closely with the Associate Dean, DSAI, and the broader School leadership team, you will provide strategic and people leadership across the Discipline, supporting staff to excel in teaching, research and engagement. You will play an important role in representing the Discipline, fostering a collaborative and high-performing culture, and contributing to the School's ambitions for growth, innovation and impact across education and research. As an accomplished academic leader and recognised researcher in a DSAI-related field, you will bring a strong track record of research excellence, academic leadership and staff development. In this role, you will lead and grow research programs and teams, strengthen a vibrant and inclusive research culture, and build productive collaborations across RMIT and with external partners. You will also contribute meaningfully to teaching and learning, helping to deliver outstanding student outcomes in the discipline. With influence across both the Discipline and the School, you will help shape strategic priorities, contribute to academic governance and committee leadership, and advance the profile and performance of DSAI within RMIT and beyond. To be successful for this position, you will have: Proven academic leadership experience, with the ability to lead teams, build capability and deliver on strategic objectives. An established and respected research profile in a relevant field, with the capacity to lead and promote research excellence. A strong record of innovative teaching and curriculum contribution in a relevant discipline, supported by a sound understanding of contemporary learning and teaching practice. Strong understanding of relevant industry trends, priorities and the evolving higher education landscape. Strategic thinking capability, with the ability to translate organisational priorities into practical actions and outcomes. Highly developed interpersonal, communication, influencing and negotiation skills, with the ability to build strong relationships internally and externally. A collaborative and collegiate approach, with proven ability to work across teams, align stakeholders and achieve shared goals. Demonstrated ability to influence positive change, foster collaboration and promote excellence in teaching, research and academic performance. Qualifications Mandatory: A PhD in a relevant field (i.e., Data Science, AI or Computer Science), with experience, standing and achievements commensurate with appointment at Academic Level C, D or E at RMIT. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the School of Computing Technologies The School of Computing Technologies (SCT) is a globally connected and forward-looking school, recognised for world-class computing research and innovative education in information technology, data science and artificial intelligence. We are committed to shaping the future of technology through distinctive research, industry engagement, and a strong emphasis on diversity, interdisciplinarity and real-world impact. In the 2026 QS World University Rankings by Subject, RMIT was ranked 117 globally for Computer Science and Information Systems, placed in the 51-100 band for Data Science, and ranked 29 for Library and Information Management. The School offers programs across Computer Science, Software Engineering, Data Science, Artificial Intelligence, Cyber Security and Information Technology, and is one of Australia's largest and leading education providers in the field. SCT is a national leader in industry-connected learning across computing, data science and IT. Our undergraduate programs have been redesigned to provide a common foundation in programming, supported by an innovative Bootcamp2Studio model that combines immersive, challenge-based learning with strong industry relevance. This approach equips students with the practical skills, adaptability and confidence to make meaningful contributions in a rapidly evolving technology landscape. The School is led by the Dean, School of Computing Technologies, and has three disciplines: Cyber Security & Software Systems (CSSS) Data Science & Artificial Intelligence (DSAI) Interaction, Technology & Information (ITI) Our PhD students and faculty conduct world leading research in many areas of Computing and Computing applications, including in: Information Interaction and Information Retrieval Human-Computer Interaction Artificial Intelligence and Natural Language Processing Data Science and Machine Learning Recommendation and Big Data Analysis Cybersecurity Software Engineering Digital Health Computer Science Education Learn more: https://www.rmit.edu.au/about/schools-colleges/computing-technologies To apply, please submit your application via the 'Apply' link below, ensuring you include: CV Covering letter A separate document addressing the Key Selection Criteria for the Assistant Associate Dean, DSAI position For further information about this position, please refer to the Position Description hyperlinked below or contact Professor Jeffrey Chan via jeffrey.chan@rmit.edu.au. For questions about the recruitment process, please contact Jennifer Pham, Senior Talent Acquisition Advisor, via email at Jennifer.pham2@rmit.edu.au or Senior Talent Acquisition Advisor, Bianca Jenkins via email bianca.jenkins@rmit.edu.au. Please do not send your application to these email addresses. Position Description - Assistant Associate Dean, Data Science & AI Discipline (3-Year) Position Description - Professor (ongoing) Position Description - Associate Professor (ongoing) Position Description - Senior Lecturer (ongoing) Please note: if you are viewing this advert on an external site, click 'Apply' and you will be redirected to RMIT's Jobs website, where the Position Description is available at the bottom of the page. Due to recent system upgrades, Position Description links may not function correctly on LinkedIn advertisements. Applications close on Sunday 12 July 2026 at 11.59pm. RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. In line with RMIT University's commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes.All applicants will be required to complete a gender based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence.Preferred candidates will also be required to undertake relevant pre employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT's safety obligations. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers. We are a Circle Back Initiative Employer - we commit to respond to every applicant.