Chongqing Medical University

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to make a real difference. The role In this role you will: Assist the Ion Beam Centre, SIMPLE group with post-implant characterisation and analysis of colour-centres Work with SIMPLE/IBC team to develop/commission the characterisation facilities Commissioning of the IBC confocal PL system Investigate/contribute towards establishing long term funding opportunities Train other staff on the new confocal PL system  About you You will have: Completed, or be working towards completion of, a PhD in relevant research area In-depth knowledge and experience of confocal PL systems and techniques A strong background in colour-centre generation and analysis, particularly the Diamond and SiC material systems Good working knowledge of single-ion-implantation techniques and processes Ideally a good working relationship with both supply chain (such as Element6, Thorlabs) and stakeholder/collaborative organisations How to apply To apply please upload your CV and a cover letter. Further details Job Description

Ref.: 536648 Work type: Full-time Department: HKU Institute for Climate and Carbon Neutrality (47100) Categories: Teaching Staff Applications are invited for appointment as Lecturer (non-clinical) in the HKU Institute for Climate and Carbon Neutrality (Ref.: 536648), to commence as soon as possible, on a one-year temporary or two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance. About the Institute and the Master Programme The HKU Institute for Climate and Carbon Neutrality (ICCN) is a premier transdisciplinary research, educational, and stakeholder-engagement hub dedicated to inspiring solutions for climate change and leading the global transition to net zero. The Institute offers the Master of Climate Governance and Risk Management (MCGRM), a unique interdisciplinary taught postgraduate programme hosted by the Faculty of Social Sciences in partnership with the Faculties of Science, Engineering, Architecture, Law, and Business and Economics. The programme bridges scientific rigor with strategic corporate action, equipping aspiring leaders with high-level expertise in corporate sustainability, ESG compliance, climate finance, and nature-based solutions. A core pillar of the curriculum is Climate Practice—connecting academic theory with hands-on experiential learning, corporate decarbonization projects, and field-based risk assessment. Duties and Responsibilities The appointee will play a pivotal role in driving the practice-oriented and applied educational components of the MCGRM programme. Key responsibilities include: Practice-oriented Teaching: Delivering dynamic, high-quality lectures, practitioner workshops, and intensive career-oriented training modules across core areas such as corporate climate governance, ESG accounting, carbon footprint management, or green innovation. Capstone & Fieldwork Supervision: Overseeing student Capstone Projects and guiding teams through hands-on corporate advisory reports, real-world decarbonization strategies, and global fieldwork investigations. Practitioner Mentorship: Bridging the gap between classroom theory and industry execution by providing dedicated academic advising and career mentorship to emerging climate professionals. Industry & Stakeholder Engagement: Collaborating with corporate partners, public policymakers, and environmental NGOs to expand internship networks, facilitate practical case studies, and support ICCN public events such as Hong Kong Climate Week. Curriculum & Administration: Assisting teaching faculty with ongoing syllabus reviews, course administration, pedagogical design, and student admission evaluations. Qualifications and Requirements Applicants should possess the following attributes: Academic Background: Background in Climate Science, Environmental Economics, Corporate Governance, Sustainability / ESG Management, Environmental Law, or a closely related discipline. Professional Practice Experience: Demonstrated industry, clinical, or practitioner experience in ESG consulting, corporate sustainability leadership, climate risk analysis, green finance, or carbon asset management. Pedagogical Excellence: Proven experience and excellence in teaching, professional training, or executive facilitation, with a strong commitment to interactive, action-oriented pedagogy. Communication & Language Skills: Native or near-native English proficiency with exceptional communication, presentation, and stakeholder management skills. Bilingual proficiency in English and Chinese (Cantonese or Putonghua) is highly desirable to support regional Greater Bay Area industry collaborations. Collaborative Mindset: The ability to work independently and as part of an agile, interdisciplinary team dedicated to solving high-stakes environmental challenges. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until July 31, 2026, or until the post is filled, whichever is earlier. Applications close: Jul 31, 2026 (HK Time)

Purpose SIT’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners. IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or products and implementing AI solutions using ready AI tools to ensure a fast implementation to market. The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community.  SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy.  The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research.  The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum.  SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied AI include domains such as:  Advanced Manufacturing & Semiconductors  Urban Systems  AI-Augmented Engineering  AI Safety & Security  Chemical Engineering & Biotechnology  Hospitality and Tourism  Healthcare  Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism. Key Responsibilities Lead or co-lead innovation projects with industry which includes SMEs, MNCs, government agencies. Work closely with centre head and internal/external stakeholders (including other IHLs) to support or drive applied research, and innovation initiatives outcomes.  Outcomes include impact or revenue of industry partners Understand industry partners requirements and help create proposals to them. Create IP (Intellectual Property) from internal grants to target multiple adopters Job Requirements A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application.  A minimum of 8 years working experience in industry. Strong technical expertise in one or more of the following areas:  Usage of AI tools or software to solve industry problems or enhance industry operations Computer Vision and Image Processing  Machine Learning, Deep Learning, and Reinforcement Learning  Large Language Models (LLMs) and Multimodal Models  Generative AI, Agentic AI, Physical AI, and Embodied AI  Trustworthy AI, including explainability, auditability, and privacy  Edge AI and model optimisation  Time-series modelling and anomaly detection  Digital twins and simulation  Demonstrated Applied AI for Healthcare and clinical practice  Industry 4.0 and/or Industry 5.0 (added advantage) Experience utilizing AI tools to one or more of SIT’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism.  Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required.