Lanzhou University

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 skills that are relevant to industry demands while working on research projects in SIT.  About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with desirable organoleptic and nutritional properties. Our mission is to enhance the quality of life for elderly individuals by creating innovative, nutritious, and visually appealing food products that cater to their specific dietary needs. Job Description:  We are seeking a highly motivated Research Engineer to join our team for a fixed-term project. The successful candidate will be responsible for developing and validating objective texture testing methods that can accurately categorize foods within the International Dysphagia Diet Standardisation Initiative (IDDSI) framework, with a specific focus on Level 5 (Minced & Moist). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol. Key Responsbilities: Conduct a comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis and the IDDSI framework. Design and execute experiments to develop new instrumental texture analysis methods suitable for IDDSI Level 5 foods. Validate new methods against existing standards and a sensory panel to ensure accuracy and clinical relevance. Collect, analyze, and interpret data from instrumental and sensory evaluations. Document all experimental procedures, findings, and analyses in technical reports and prepare presentations to industry stakeholders and manuscripts for publication in peer-reviewed journals. Collaborate with a research team, including food scientists, clinicians, and engineers, to ensure the developed methods are practical and clinically relevant. Job Requirements: A degree in Food Science, Food Engineering, Materials Science, or a related field. A Master's or Ph.D. in a related research field is advantageous. Experience with instrumental texture, image analysis and particle sizing techniques (e.g., texture analyzers, universal testing machines) is highly desirable. Strong analytical and problem-solving skills. Proficiency in material characterization techniques, such as stress-strain characterization. Proficiency in analysis software (e.g., Microsoft Excel, R, or other statistical software). Excellent written and verbal communication skills. Ability to work independently and as part of a team. Demonstrated commitment to strong research ethics and data integrity

Are you a recent postgraduate ready to go wild and stand head and shoulders above the crowd, using advanced AI and computer vision to shape the future of animal welfare? The University of Surrey, in collaboration with Marwell Wildlife - a leading conservation charity and the owner-operator of Marwell Zoo - is recruiting a forward-thinking AI and Computer Vision Associate to lead a transformative Knowledge Transfer Partnership (KTP) Project.  This pioneering project will develop an AI-powered nocturnal behaviour observation system, transforming how animal welfare is monitored and understood. By uncovering night-time behavioural changes, you will help enable earlier detection and proactive prevention of health and welfare issues before these become serious. This cutting-edge work will help redefine how animal health and wellbeing are protected and improved.  This growing partnership between the University and Marwell Wildlife aims to connect people with nature, lead the charge in caring for the natural world, and support a thriving future for wildlife. The Role Based at Marwell Zoo (near Winchester, Hampshire), you will lead the design and delivery of an end-to-end, 24/7 animal welfare monitoring system. Your work will advance welfare science and support innovative, data-driven revenue streams that support Marwell’s long-term sustainability. You will work at the intersection of: Artificial Intelligence & Computer Vision Animal Behaviour & Welfare Science Data Analytics, Visualisation & Business Insight You will be embedded within Marwell’s Animal Science team and supported by University of Surrey academics: Professor Kevin Wells, Professor of AI in Human and Veterinary Healthcare.  Dr Marco Volino, Lecturer in Computer Vision and Graphics. KTPs offer a unique springboard for your career, combining academic rigour, industry experience, and leadership responsibility to support your development as a future leader in this field.  About You You are ambitious, curious, and impact-driven, with an interest in animal welfare, animal behaviour, or conservation. You will hold a postgraduate degree in AI, Data Science, Computer Vision or a closely related discipline with strong technical component, or equivalent industrial experience. You will bring experience in: Computer vision and machine learning: developing, training, evaluating, and deploying computer vision models. Data visualisation and analytics: turning complex data into actionable insights. Programming: strong skills in languages such as Python and C#. Applied data science: solving real-world challenges using Machine Learning and Artificial Intelligence techniques. Business Intelligence and Data Visualisation: using tools like Power BI, SQL (ideally PostGIS), and cloud-based databases.  Documentation and communication: clearly documenting processes, data models, and reporting structures. Project management and business acumen: mapping business processes, presenting insights, and translating technical concepts for diverse audiences.  You thrive in collaborative environments, are keen to learn new technologies and are motivated by driving innovation through AI and data-driven solutions. This 36-month fixed-term KTP Associate role offers: Hands-on, industry-based experience leading a high-impact AI project in a live conservation-focused setting, working closely with animal science experts Mentorship from leading academics, industry experts, and a dedicated KTP support team. A Generous personal development budget and dedicated time for training and development. Potential for a permanent role at Marwell Wildlife upon successful completion of the KTP (subject to performance and business needs). This is a rare opportunity to build a cutting-edge technology solution from the ground up while directly contributing to animal welfare and the future resilience of conservation-focused organisations. How to Apply Please submit your CV and cover letter on the University website. Informal enquiries are welcomed and can be directed to Dan Bance at: ilovektp@surrey.ac.uk. Please note applications sent directly to this email address cannot be accepted. As part of the Knowledge Transfer Partnership (KTP) Programme, your application will be reviewed by representatives from both the University of Surrey and the host organisation, the Business Partner. By submitting your application, you consent to your personal details being shared with the business partner and the funder for the purposes of recruitment and project delivery. Please note that we reserve the right to close this vacancy ahead of the advertised deadline if we receive a high volume of strong applications. Further details Job Description

Full time, continuing based at our Camperdown campus Lead the design and delivery of high quality learning experiences aligned to the Business School's learning and teaching strategy HEO 10 Base Salary $150,628+ 17% superannuation About the opportunity The Learning Innovation Office (LIO) plays a pivotal role in advancing the University of Sydney Business School education agenda. It brings together contemporary education design, media and digital capability, and a strong focus on an outstanding student experience to support the development of scalable, high-impact programs for modern learners across a portfolio of future-focused initiatives. Join us as the Manager, Education Design and Delivery, where you will shape innovative learning experiences and drive key strategic initiatives. Working with stakeholders across the Business School, you will lead the design and delivery of high quality, pedagogically aligned programs and courses. Your key responsibilities will be to: provide leadership and strategic oversight, working closely with the Chief Learning Innovation Officer, project leads and key stakeholders to communicate progress, risks, and delivery outcomes, and translate strategic priorities into clear delivery roadmaps lead the design and delivery of high quality learning experiences, overseeing end to end curriculum and assessment design, ensuring constructive alignment, evidence based pedagogy, and user centred learning across the LMS and related tools drive excellence in learning technologies and standards, ensuring effective use of platforms, multimedia, accessibility, and compliance with institutional and external requirements lead complex, multi stream projects, managing scope, timelines, risks, dependencies, and governance across faculties and central units manage and develop a high performing team of learning designers and educational technologists, providing coaching, workload planning and capability development. About you relevant tertiary qualifications or an equivalent combination of training and experience strong expertise in contemporary learning and teaching, including blended/online pedagogy, learning theories, constructive alignment, competency mapping and outcome based education proven capability in curriculum and assessment design, integrating multimedia and user centred learning across the LMS and connected tools demonstrated project and change leadership in complex environments, including budget, procurement, risk and governance management advanced stakeholder and relationship skills, with the ability to influence, negotiate and work effectively in a matrixed organisation experience leading and developing high performing education design teams proficiency with learning technologies and relevant standards, including accessibility and compliance requirements a data informed approach to continuous improvement, using learning analytics and student feedback to enhance learning experiences. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Lena Jiang, Recruitment Operations by email to lena.jiang@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Friday 06 March 2026 11:59 PM