Jishou University

Schemes of Service: Faculty Division: Engineering Employment Type: Permanent, Fixed Term 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. SIT’s centralised campus within the Punggol Digital District (PDD) provides a vibrant ecosystem where academia, industry, and the community are tightly integrated. SIT espouses an applied learning approach with a strong focus on science and technology. Faculty work closely with industry on translational research and innovation, providing solutions to real-world challenges through applied research, workforce development, and system deployment. As part of its strategic growth in quantum technologies, SIT is expanding its capabilities in Applied Quantum Computing, with a focus on developing hybrid quantum-classical solutions that deliver tangible industry value in the short to medium term. This includes applications combining quantum computing, artificial intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms and quantum machine learning (QML). Responsibilities: Lead and contribute to applied quantum computing research projects with industry partners. Develop hybrid quantum-classical applications integrating AI and HPC workflows. Apply VQE, QAOA, QML, quantum annealing, and quantum-inspired algorithms. Develop industry-relevant use cases for near-term quantum advantage. Develop and teach quantum computing courses (CET/PET and undergraduate). Supervise capstone projects and industry-linked research. Engage with the quantum ecosystem and contribute to SIT initiatives. Qualifications: PhD in Quantum Computing, Physics, Computer Science, Engineering, or related field. 2–5 years of relevant experience after PhD (industry or applied postdoctoral research). Expertise in quantum algorithms and NISQ computing. Experience with hybrid quantum-classical workflows. Proficiency with Qiskit, PennyLane, CUDA-Q or equivalent. Strong programming skills and familiarity with AI/ML tools. Experience in industry collaborations and applied research is preferred. What SIT offers: An applied research environment focused on real-world impact. Opportunities to work with leading quantum industry partners. Access to Punggol Digital District ecosystem and testbeds. Role in building Singapore’s applied quantum capability. Opportunities to develop new programmes aligned with industry needs. Competitive environment in a global innovation hub. How to apply: Curriculum vitae Cover letter Research statement (max 2 pages) Teaching statement (max 1 page) Three representative research outputs

Lecturer/Senior Lecturer in Psychology 1.0 full time (Maternity cover to 31 Mar 2027) Location Stratford Campus Salary £46,471 to £60,752 Post Type Full Time Post Type Fixed Term Contract Length 10 months Closing Date Sunday 21 June 2026 Interview Date Tuesday 30 June 2026 Reference 0903-26-A University of East London Founded in 1898, we at the University of East London (UEL) are proud to change lives through education. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future. If you are seeking a career that combines innovative education with a passion for crafting positive change, look no further than the University of East London. Founded in 1898 to meet the skills needs of the 2nd industrial revolution, we’re now in Year 8 of our ground-breaking 10-year Vision 2028 strategic plan, led by our Vice-Chancellor and President, Professor Amanda Broderick. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We are committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a sustainable, inclusive, and green future.  But we can't achieve this goal alone. We need forward-thinking, innovative, and curious individuals like you to join our community and help us shape the future. As part of our team, you'll have the opportunity to work with a diverse range of people who share your passion for generating positive change. We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo.  If you're ready to join a team that values your outstanding skills and perspectives and is dedicated to making a difference, we invite you to explore a career with us. We are excited to welcome versatile individuals who are committed to advancing their careers while making a positive impact on the world. About Us The Department of Psychology and Human Development comprises a diverse, student-focused team of academics who deliver high-quality BPS-accredited degrees in Psychology. In addition to the BSc Psychology, we also provide undergraduate degrees in Psychology with Child Development, Clinical and Community Psychology, Forensic Psychology, as well as a hugely popular MSc Psychology (conversion) course and Masters routes in Coaching Psychology accredited by the EMCC among our applied psychology programmes. Many of our courses can be taken by distance learners and our breadth of provision incorporates a Foundation course in Psychology as well as a thriving research-based PhD programme. The psychology department is ranked #24 out of 115 in the Guardian’s 2026 league table for best Universities at which to study Psychology. Alongside excellence in teaching, we also boast of an impressive research profile; in the most recent Research Excellence Framework (REF) the school was one of only four submissions to secure 100% 4* rating for research impact. We actively support colleagues to develop their research plans and to submit grant applications and top-rated journal articles. About the job This full-time lecturing role (1.0 FTE) requires the provision of top-quality learning experiences and administrative support for our student cohorts at both BSc and MSc levels. The work will include face-to-face teaching, online supplementary delivery where relevant, supervision of student research projects, setting and managing assessments, and providing academic advisory support in group and individual settings. The post requires expertise related to social psychology. Applicants for Senior Lectureship will be required to evidence and to undertake significant leadership roles. The role requires providing top-quality teaching and administrative support to our student cohorts. The work will include face-to-face teaching, online supplementary delivery where relevant, supervision of student research projects, setting and managing assessments, and providing academic advisory support in group and individual settings. Job share can be considered. About You We are looking for an experienced lecturer to teach social psychology and related psychological approaches (including research methods) at both undergraduate and postgraduate level. The post requires expertise in social psychology: we are looking for colleagues who can deliver Social Psychology, Research Methods (especially qualitative) and who can deliver supervision for student research projects at BSc and/or MSc levels. Ability to teach Coaching Psychology/Positive Psychology would be welcomed in addition. You will have a research background and interest in Social Psychology and will already hold a relevant PhD. Benefits Package Here at UEL we understand it’s about more than just a salary. It’s about the entire package on offer along with our outstanding work environment and inclusive culture. We know the market rates for this vacancy and will offer a genuinely competitive salary DOE. Beyond a competitive salary, We care deeply about your wellbeing and we offer a comprehensive benefits package that includes: 31.08% to 35.38% pension contribution (7.4% to 11.7% from you, 23.68% from us) 35 days holiday, plus 3 days over Christmas and bank holidays Hybrid working options for most positions A discretionary shared success bonus of up to £5,000 pa 2023/2B4 academic year 3 times base salary life assurance Cashback healthcare scheme Discounts on Apple and Samsung products, holidays, clothing, fitness, lifestyle, dining out, and weekly shopping Equal Opportunities UEL is an inclusive equal opportunities employer and are proud of our Equality, Diversity, and Inclusivity achievements, including: zero gender pay gap, members of Stonewall and have won Athena Swan awards. We expect all employees of UEL to accept our EDI policy and will not tolerate discrimination in any form. So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and committed to success, we want you to apply today! We're a disability confident employer and value all applications. Please let us know if you require any reasonable accommodations throughout the recruitment process. Informal enquiries are welcome and should be made to Ronke on 020 8223 2013 or email jobs@uel.ac.uk for further details. Further Details Job Description & Person Specification To contact the recruitment team please phone +44 20 8223 3000 x 4600 or e-mail jobs@uel.ac.uk CVs without a completed application form will not be accepted. At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.

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 support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently