Sapienza University of Rome

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) 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 post: Associate Professor of Teaching / Assistant Professor of Teaching Department of Sociology and Social Policy (Post Ref.: 26/25) The Department of Sociology and Social Policy brings together scholars with international research experience and publication records in the major areas of Sociology and Social Policy. Over the years, our faculty members have been the recipients of the University’s Research Excellence Award and Teaching Excellence Award. The Department offers undergraduate teaching in Sociology, Social and Public Policy, and Health and Social Services Management, while hosting an MSocSc Programme in Comparative Social Policy (International) (IMCSP). We have been consistently successful in attracting MPhil and PhD students from around the world, particularly the recipients of the Hong Kong RGC Junior Research Fellow Scheme, and in obtaining the General Research Fund (GRF) and other external competitive grants. For more information, applicants are advised to visit the departmental website. General Requirements Applicants should have a PhD degree in Sociology, Social Policy, Social Work, Health Studies or other related disciplines, with relevant teaching experience. Applicants are required to provide their teaching portfolio, and teaching evaluation, among other relevant information. Excellent communication and presentation skills in English are essential. The appointee should be able to perform the following duties: To teach across a large variety of undergraduate courses offered by the department, including the Making of Hong Kong and at least one Health and Social Services Management Programme (HSM) course; To provide in-house teaching training/mentorship of postgraduate students, post-docs, research assistant professors, and, when necessary, entry-level assistant professors; To serve as a senior tutor and provide students in our department (Sociology, Social Policy, and Health and Social Services Management) with pastoral care; To perform teaching administrative duties in the department; Be able to take up a leadership role on the development of new programme(s) in Undergraduate (UG) and/or Postgraduate Taught (PGT) areas that align with the University strategic objectives, such as Digital Sociology. 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, incoming passage and baggage allowance for the eligible appointee. The appointment will normally be made on a fixed-term contract of up to three years. 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. The review of applications will start from late-February 2026 and will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

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.

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 lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. 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: Delft3D and SWAN Modelling: Utilize Delft3D and SWAN software to develop and validate numerical models for wave propagation, storm surge modelling, and coastal dynamics. Building up of a database of sea level anomaly with extreme weather conditions: Utilize the developed numerical model to build a database of sea level anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy. Research: Conduct research to enhance wave modelling techniques and contribute to the advancement of coastal engineering and oceanography. Impact Assessment: Evaluating the potential impacts of storm surges on coastal regions, including flood risk assessments and vulnerability analyses. Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal engineers, and oceanographers. Reporting: Prepare research findings for publication in scientific journals and present results at conferences. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any adhoc duties assigned. Requirements PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics. Proficiency in wave modeling software, particularly Delft3D and SWAN. Strong analytical and problem-solving skills. Research experience in coastal and ocean waves is preferred. Excellent communication (verbal and written) and teamwork abilities Proficiency in machine learning will be an advantage Key Competencies 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 Show strong initiative and take ownership of work