College of Sharia Sciences

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 posts: Senior Lecturer / Lecturer Centre for English and Additional Languages (Post Ref.: 25/286) The Centre for English and Additional Languages (CEAL) offers a range of core and elective courses in addition to co-curricular language activities in order to enhance English language proficiency and critical thinking of students, as well as to provide language support to help students succeed in their academic studies. The Centre is looking for Senior Lecturers/Lecturers to teach, develop, and coordinate courses in English for Academic Purposes (EAP) and English for Specific Purposes (ESP), with a particular emphasis on course coordination experience. The appointments of the Senior Lecturer will be commensurate with relevant experience. Requirements Applicants for the position should have: (i) At least 4 years' relevant experience in teaching at university level (at least 8 years for Senior Lecturer), including a minimum of 2 years' experience in teaching EAP/ESP courses, preferably to students of humanities, social sciences and/or business studies; (ii) A master's degree or above; a doctoral degree is preferred; (iii) A qualification in teaching English as a second/additional language (e.g., TEFL, CELTA, DELTA, or equivalent); (iv) Demonstrated expertise or substantial experience in IELTS test preparation and assessment, including knowledge of IELTS assessment criteria, test-taking strategies, and experience in teaching the four skills (Reading, Writing, Listening, and Speaking); (v) Proven experience in course coordination and curriculum development, including the ability to collaborate effectively with multiple instructors, ensure alignment of assessments and learning outcomes, and maintain quality assurance standards; (vi) An excellent command of English; and (vii) Preferred expertise and interests include: designing AI-enhanced language teaching and learning courses or tools; developing web-based interactive materials and implementing blended or flipped learning approaches and other innovative pedagogies; teaching academic speaking and oral presentation skills; delivering a foundational core course that strengthens students’ English proficiency and the academic skills needed for success in an English-medium university; delivering a course that develops written synthesis of academic sources, critical evaluation of arguments, seminar discussion and debating skills, as well as creative and reflective practices essential at the tertiary level; offering a disciplinary core course for Social Sciences majors to enhance professional communication theories and practices through a modular approach; and teaching elective courses that build students’ English proficiency while familiarising them with IELTS test formats, strategies, and performance skills. Appointment The conditions of appointments 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 contract basis for two 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 applicant's 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 commence as soon as possible and 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 appointments 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.  Job Details This Research Fellow will contribute to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues at the policy–academic interface. This position is ideal for an early- or mid-career researcher with experience in GIS or remote sensing who seeks to apply and expand their expertise in a fast-paced, interdisciplinary research environment. The successful candidate will work with leading researchers and contribute to cutting-edge research and policy dialogues at the intersection of blue–green infrastructure, tropical urban ecosystem services, and urban resilience (covering themes such as urban flooding, thermal cooling, recreation, and biodiversity). The work includes Local Climate Zone (LCZ) classification and collaboration with Japanese university partners for integrated macro- to micro-scale analysis. 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 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.  Identify, simulate, and analyse ecosystem service models using GIS, remote sensing, and field data. Manage, process, and analyse ecological and socio-economic datasets to develop and calibrate high-accuracy ecosystem service models. Conduct literature reviews and synthesize findings into conceptual frameworks and research designs. Support cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization. Draft and edit research reports, policy briefs, and academic manuscripts. Contribute to project management, workshop organization, and stakeholder or 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 and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem service identification and analysis is highly advantageous. Excellent data management, research design, and reporting skills. Strong communication and presentation skills in English. Highly organized, proactive, and capable of working both independently and within multidisciplinary teams. Additional Note: While prior experience in ecosystem service modelling and simulation is not mandatory, it will be considered a strong advantage. Candidates with a solid GIS or remote sensing background who demonstrate interest in applying their skills to ecosystem service assessment are encouraged to apply. The project team will provide on-the-job training and guidance in ecosystem service modelling tools (e.g., InVEST and related software) to support skill development and ensure effective integration across research tasks. Key Competencies Integrates GIS, remote sensing, and environmental data for spatial modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical, problem-solving, and data interpretation skills. Effective in research design, reporting, and scientific communication. Works independently and collaboratively in multidisciplinary teams. Demonstrates initiative, adaptability, and sound research ethics.

About us: We are seeking to appoint a postdoctoral research associate with an excellent track record in semantic technologies and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies.  About the role: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative and agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process for knowledge workers to better organise knowledge bases and maintain the integrity of their information.  The post holder will work closely with Prof Elena Simperl and a team of 15+ researchers and PhD students in the area of human-centric AI. The role covers research in the areas mentioned above, as well as the production of scientific publications and application showcases to drive research impact. The researcher will be expected to support impact creation activities, including hackathons, workshops, tutorials and to actively contribute to ongoing AI standardisation efforts such as MLCommons Croissant. The research and innovation outputs will inform work undertaken in the group in several large collaborative grants and application areas, including arts and culture, enterprise data management, legal compliance. The ideal candidate will have solid expertise in the technical areas mentioned earlier, as well as a proven track record of scientific excellence (through publications in A and A* conferences and journals) and of open science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with semantic technologies and neuro-symbolic AI, in theory and practice, is a firm requirement. The post is full-time, but we can discuss part-time options in exceptional circumstances. There is also the option to extend the contract beyond the 18 months provided funding is available. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in computer science, AI or related area Proven experience of semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS, OWL Proven experience with predictive and generative AI Practical experience in using large language models, generative AI techniques, prompt engineering Proven record of A/A* scientific publications and open science/FAIR practices Teamwork skills demonstrated e.g. through project work, organisation of joint events, co-authored papers etc. Time management and organisational skills, including experience in organizing small scientific workshops and similar Desirable criteria Familiarity with the design of AI enabled tools, AI assistants, and agentic AI Familiarity and contributions to Wikipedia and/or Wikidata Understanding and practical experience with FAIR and open science practices Familiarity and contributions to AI or web standards Experience in scientific communication for non-academic audiences Familiarity with one or more of these application domains for neuro-symbolic AI: law, arts and culture, enterprise data management Track record of organising dissemination and community building events e.g. workshops or tutorials co-located with academic conferences Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.  At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we m To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary :    £44,105 to £51,485 per annum inclusive of London Weighting    Job ID :    135825 Post Date :    16-Jan-2026    Close Date :    20-Feb-2026 Contact Person :    Elena Simperl    Contact Details :    Elena.simperl@kcl.ac.uk