Lahore Leads University

Nanyang Technological University (NTU), Singapore, one of the world’s leading universities, is seeking a visionary leader to serve as Director of NTU Food Research Systems (NTU-FRS). This role presents an exceptional opportunity to lead NTU’s university-wide food research platform, which is recognised nationally and internationally for its leadership in food security, safety, and sustainability. NTU-FRS is NTU’s integrative research platform spanning food production, nutrition and safety, circular agri-food systems, and emerging food technologies. It hosts major national initiatives including the Future Ready Food Safety Hub (FRESH) and the Singapore Agrifood Innovation Lab (SAIL). NTU-FRS also collaborates with leading organisations such as the WHO and the Singapore Food Agency. Collectively, these initiatives position NTU-FRS as a leading ecosystem delivering science-based solutions towards Singapore’s food resilience agenda and the wider region. The successful candidate is expected to be an internationally renowned scholar in food science, nutrition, food safety, or a closely related field, with a distinguished record of scholarship and competitively funded research. The ideal Director will also need to be a determined and inclusive leader who provides strategic academic leadership and coordinated oversight of NTU’s university wide food research efforts. The candidate will be expected to inspire research excellence, drive interdisciplinary collaboration, champions translational impact, and further strengthen NTU-FRS’s position as a national and global hub for food-related research and innovation. This appointment offers a unique platform to make a transformative impact within Singapore’s dynamic innovation ecosystem, leveraging world-class facilities, strong government-industry partnerships, and NTU’s commitment to addressing national research priorities and global food security challenges. How to Apply Nanyang Technological University will be supported in its global search for this appointment by the executive search firm, Perrett Laver. For further information, or to discuss the role in confidence, please contact Samuel Teh via email at Samuel.Teh@perrettlaver.com. Applications should include (in electronic form): A cover letter setting out interest, relevant experience and statement of vision for NTU Food Research Systems A full curriculum vitae The deadline for applications is 20th of June 2026 4 pm (SGT).  

Ref.: 536256 Work type: Full-time Department: Faculty of Law (18100) Categories: Professoriate Staff Applications are invited for a joint appointment as Tenure-Track Assistant Professor in AI and Law in the Faculty of Law and the School of Computing and Data Science (Ref.: 536256), to commence on July 1, 2027, or as soon as possible thereafter, on a three-year fixed-term basis, with the possibility of renewal and with consideration for tenure before the expiry of the second three-year fixed-term contract. Faculty of Law The Faculty of Law, the longest-established law school in Hong Kong, plays a leading role in legal education in Hong Kong and Asia through its various undergraduate, research, postgraduate, and taught postgraduate programmes covering a wide range of legal subject areas. The Faculty is ranked among the top 20 in the 2026 QS World University Rankings by subject for Law & Legal Studies. It is the largest and oldest legal research and law teaching institution in Hong Kong, currently consisting of over 80 teaching members and over 2,500 undergraduate and postgraduate students. Further information about the Faculty can be found at https://www.law.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, 27th 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. Applicants should normally have a first degree in Law (e.g., LLB, BA(Jurisprudence) and JD) and an additional postgraduate degree in Law (e.g., LLM, PhD, D Phil and SJD). Those who do not have an additional postgraduate degree in Law are also encouraged to apply if there is evidence of a strong publication record and relevant experience in teaching, legal practice or the judiciary, or if they possess a postgraduate degree in a non-law discipline. Applicants should be academically strong and demonstrate potential for excellence as teachers and researchers. The appointee will also be a member of the HKU Musketeers Foundation Institute of Data Science (HKU-IDS) under this joint appointment. He/She will be expected to make a significant contribution to the Faculty’s research profile by producing high-quality research and actively participating in research communities. He/She will also be expected to contribute to the development and delivery of teaching in the Faculty’s undergraduate and postgraduate programmes. For enquiry, please email to dolsen@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave, professional leave and medical benefits. Housing benefits will be provided as applicable. The University only accepts online applications for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload an up-to-date C.V. with details of relevant experience and course teaching interests. Closes June 27, 2026. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency.

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. Job Details This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization. Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs. Conduct tool testing, validation, and iterative refinement based on stakeholder feedback. Manage documentation, data pipelines, and version control. Support system deployment on a secure project server and ensure cross-platform interoperability. Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models into intuitive, interactive user interfaces. Good teamwork, documentation, and problem-solving skills. Self-motivated and able to learn new tools and frameworks independently. Additional Note: While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments. Good teamwork and communication skills for collaboration with the project team. Strong problem-solving ability, adaptability, and willingness to learn new tools. Good organizational and documentation skills; familiarity with GIS is a plus.