Informasiya Texnologiyalari Institutu

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 Research Engineer will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job 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: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate the models into a working system prototype. Perform data annotation. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. Prepare project documentation, technical reports, and academic publications. Collaborate with industry partners and contribute to technology transfer efforts. Support the design of simple web interfaces or dashboards to visualise CV model outputs, working alongside developers when needed. Contribute to system integration by applying familiarity with backend/frontend workflows, ensuring CV models can be accessed through user-facing applications. Assist in deployment of CV solutions on cloud or edge platforms with basic interface support for end-users. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.  Technical Requirements: Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) Computer vision models for object detection and classification (e.g., YOLO, R-CNN variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques  Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong computer vision expertise and proven success in 1-2 substantial CV projects are welcome to apply regardless of domain-specific experience Familiarity with Web/Full-Stack Development: Basic understanding of frontend frameworks (e.g., React, Angular, or Vue.js) Eposure to backend development (e.g., Flask, Django, Node.js) Awareness of RESTful APIs and microservices architecture. General knowledge of database systems (SQL/NoSQL). Experience with cloud platforms (AWS, GCP, Azure) for deployment and scaling Educational Requirements: Hold at least a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer vision challenges) Experience with version control (Git) and collaborative development practices

Chengdu University of Traditional Chinese Medicine (CDUTCM)-Keele Joint Institute of Health and Medical Sciences, founded in 2023, is a collaboration between Keele University - renowned for its top-ranked medical programmes in England and CDUTCM - a leading “Double First-Class” institution in China. We invite passionate educators to join our BSc (Hons) Public Health Management programme. The degree equips students with transferable skills that go beyond public health practice, covering Health Enterprise Management, Epidemiology and its application to Improving Public Health, the Biological and Environmental Determinants of Public Health and Health Protection among others. Our students gain expertise to tackle modern health challenges. Keele’s academic leadership ensures rigorous standards and exceptional teaching quality; faculty are expected to uphold excellence in pedagogy, student engagement and research. We have multiple positions at various seniority levels for passionate academics to join our BSc (Hons) Public Health Management programme. Key Responsibilities: Deliver high-quality, innovative teaching (up to 20 class periods weekly) and provide at least 6 class periods weekly as office hours that inspires and engages students, using diverse methods and technologies aligned with Keele's and CDUTCM academic standards. Provide comprehensive academic support and mentorship, fostering student success and personal development throughout their learning and research journey. Undertake core academic duties and build research profile. Supervise undergraduate research projects and guide students in developing critical thinking and research skills. Contribute actively to professional development, performance reviews, and collaborative initiatives that enhance the institute’s academic environment. Uphold excellence in teaching, research, and scholarly engagement to maintain the highest standards of education and research. Selection Criteria PhD in Public Health Management, Epidemiology or closely related field (substantial professional experience considered as an alternative). Ideally minimum 2 years’ higher education teaching experience; teaching certification or relevant professional credentials is essential. Emerging or established research profile (publications, attracting external research funding, supervision of undergraduate or master students). Strong communication skills and established/emerging leadership experience. Cultural adaptability and experience developing curricula for varied educational contexts. Commitment to student success, building research profile and leadership. Salary & Benefits Competitive Package: Attractive salary aligned with experience and qualifications. Global Relocation Support: Annual flight allowance, housing allowance for international staff, and full visa/residence assistance. Career Growth: Personalized development opportunities based on your career stage. Research Opportunities: Available based on alignment with CDUTCM-Keele University Joint Institute. Lifestyle Assistance: Expert support team for all aspects of living and settling in China. Life in Chengdu Chengdu ranks among China’s most liveable cities, celebrated for its world-famous cuisine, vibrant nightlife, rich cultural heritage, and efficient metro system. Our campus, located in Wenjiang University Town (Chengdu Medical City), offers excellent transport links and modern amenities for a comfortable lifestyle. How to Apply Send your application to careers-the@zycdutcm.net, including: Academic CV Cover letter, addressing your motivation to apply (1-page max) Response to Selection Criteria (2-page max) Applications are reviewed on an ongoing basis-apply early for priority consideration.

Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 10,000 in just 22 years. It is looking for ambitious, talented academics with a passion for teaching as well as research flair to join its team of science and engineering experts. UNNC is part of the University of Nottingham’s Global University, and offers unique teaching and research opportunities in a highly dynamic economy. The successful candidate will be expected to lead and deliver individual and collaborative research and teaching in the area of Urbanism, with a focus on Urban Development, Smart Cities, and Sustainability, and contribute to the direction of research programmes in the Department of Architecture and Built Environment. They will be responsible for generating new intellectual understanding/knowledge through the application of knowledge and for developing ideas for application of research and teaching outcomes. The role involves designing and delivering instruction in Urbanism and Sustainable Environments, emphasising pedagogical innovation and critical engagement with urban challenges. Key responsibilities include teaching: Sustainable Urbanism Project, Smart Cities, Advanced Innovations in Cities, and Urban Systems and Techniques. Required expertise: Leading urbanism studios blending theory with project-based learning. Knowledge of Sustainable Urbanism (low-carbon design, climate adaptation), Smart Cities (digital twins, AI-driven planning), and technical tools (GIS, CIM, urban analytics). Must integrate research with teaching, mentoring students in methodologies like life-cycle assessment and scenario planning. Commitment to interdisciplinary collaboration across urban design, policy, and technology to advance global sustainability goals. The appointed candidate will also lead major research projects as a principal investigator, spearheading funding bids and developing innovative methodologies in relevant areas. Candidates must have a PhD degree in a closely related field, proven experience in teaching and curriculum development within the higher education sector, and a growing national or international reputation in their field, demonstrated by a strong publication record. Strong communication skills, with the ability to explain complex concepts clearly to diverse audiences, and a commitment to fostering an inclusive and innovative learning environment are also essential. Salary will be within the range of RMB 450,190 to RMB 592,815 per annum, depending on qualifications and experience. In addition, an attractive package including employment support allowance, schooling and insurance will be provided for international appointments. The post will initially be offered on a fixed term contract with the University of Nottingham Ningbo China for a period of up to 5 years with effect from September 2026 or thereafter as soon as possible. This contract may be extended by mutual agreement, subject to revised terms and conditions. Interviews will take place in Ningbo, China, if feasible – virtual interviews may also be held. Please be advised that normally your references will be contacted prior to the interview. How to Apply Full applications must be submitted via the application link: https://jobs.nottingham.edu.cn/job/184537 before 11 May 2026 , 23:59 Beijing Time. A full application shall include the applicant’s English CV, teaching statement, publication list and three contacts for references. Late submissions or incomplete applications will not be considered for shortlisting. Enquiries Informal enquiries regarding these vacancies may be addressed to: Dr Edward Cooper (Edward.Cooper@nottingham.edu.cn), Head of Department of Architecture and Built Environment., University of Nottingham Ningbo China. Please note that applications sent directly to this address will not be accepted. If you are unable to apply online please contact the Human Resources Department, Tel: 86 574 8818 000 (Ext. 6551), Email: Job@nottingham.edu.cn and quote 184537 with the screenshots of the issues if possible.