Oulu University of Applied Sciences

Description The Sustainable and Innovative Transport Demand (SIT-D) at New York University Abu Dhabi (NYUAD) is seeking a postdoctoral associate to conduct studies on the use of Immersive Virtual Reality to elicit users’ preferences for innovative transport systems. Applicants with a background in behavioral analysis and mathematical modelling are encouraged to apply. Terms of employment include competitive salary and benefits. Research in the SIT-D lab focuses on understanding and modelling consumers' behavior and decision process for sustainable transport modes and transport innovations. Research is interdisciplinary involving behavioral economics, psychology, neuroscience, computer science applied to the transport domain. Responsibilities of the position include building experiments to understand user’s decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD degree or equivalent in a field related to behavioral analysis and mathematical modelling and demonstrated experience with neurophysiological measurements, as well as data collections and field experiments. Knowledge of Unity platform or Unreal Engine is desirable. Organizational skills and attention to detail are essential. Applications will be accepted immediately. To be considered, all applicants must submit a cover letter/statement of research interests, a resume, and contact information for at least two references. The terms of employment are competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, research statement and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email Prof. Elisabetta Cherchi at Elisabetta.Cherchi@nyu.edu. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Ref.: 534063 Work type: Full-time Department: School of Public Health (22400) Categories: Professoriate Staff Applications are invited for appointment as Non-Tenure Track Clinical Professor of Practice in the School of Public Health (Ref.: 534063), to commence as soon as possible, on a three- or four-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. Qualifications & Experience Applicants must hold specialist registration with the Hong Kong Medical Council (or be eligible for specialist registration via the Hong Kong Academy of Medicine). Candidates should have: A nationally or internationally recognized record of excellence in public health, epidemiology, or community medicine; Demonstrated leadership in clinical research, policy advisory, or large-scale public health initiatives; A strong commitment to teaching, curriculum development, and mentorship in medical and public health education; Experience in interdisciplinary collaboration and strategic program development in academic or healthcare settings. Preference will be given to candidates with: A proven track record in public health practice, including advisory roles in government or professional bodies; Experience in leading large-scale research projects (e.g., epidemiological studies, clinical trials, or community-based interventions); Administrative leadership in academic institutions, healthcare organizations, or professional colleges. Key Responsibilities The successful candidate will: Contribute to teaching and curriculum development in undergraduate (MBBS) and postgraduate (MPH) programmes; Lead or support high-impact research in public health, infectious diseases, or preventive medicine; Engage in knowledge exchange, policy advisory roles, and national/international collaborations; Play a strategic role in departmental or faculty-wide initiatives, including accreditation, interdisciplinary research, and public health training programmes. 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. A monthly cash allowance will be offered to the successful candidate. Housing benefits will also 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., and provide contact information of 3 referees. Review of applications will start on January 30, 2026 and continue until February 28, 2026, or until the post is filled, whichever is earlier.

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following posts: Associate Professor/Assistant Professor Division of Artificial Intelligence (Post Ref.: 25/72) The Division is looking for an experienced Associate Professor/Assistant Professor who will (1) conduct high-quality research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure external competitive research grants in various funding bodies; (3) teach multiple subjects in both undergraduate-level and postgraduate-level programs in data science areas focusing on industrial data sciences, blockchain, data sciences, artificial intelligence, etc.; (4) work on the promotions and admissions as well as the operations for undergraduate and postgraduate programmes, and (5) contribute to other administrative duties as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in a relevant data science, computer science, artificial intelligence, information engineering, or other relevant areas; (ii) a strong publication record and outstanding citation counts in the research areas; (iii) experience in applying external grants and teaching relevant courses and relevant programme administrative experience will be advantages; (iv) good command of English and Chinese (including Mandarin). For the post of Associate Professor, six years of relevant experience in the tenure-track academic post should be required. The candidates with less experience will be considered as Assistant Professor. Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointees. Appointments will normally be made on a fixed-term contract of up to three years. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.