Akademia WSEI

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 1. 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 2. 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. 3. 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

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 collectively, and individually, make a real difference. The role We are seeking an outstanding Clinical Research Training Fellow to help spearhead the development and clinical testing of a novel non-invasive brain stimulation sleep therapy for Alzheimer’s disease. The project is funded by the Medical Research Council and will be conducted at the UK Dementia Research Institute Centres at the University of Surrey and Imperial College London  The successful applicant will, together with other team members, be responsible for recruiting individuals with early-stage Alzheimer’s disease to the study and for administering non-invasive brain stimulation (phase-locked TI electric fields and audio), electroencephalography (EEG), and cognitive paradigms during wakefulness and sleep. The successful applicant will also work alongside other team members to examine patients’ responses by analysing EEG and behavioural data.  Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully registered with the GMC, have experience working with patients with mild cognitive impairment (MCI) or dementia, and have knowledge of research methods and statistical procedures The successful applicant will be clinically mentored by Chris Butler (the project’s clinical lead) and will be an active member in Derk-Jan Dijk's (University of Surrey) and Nir Grossman's (Imperial College) research groups. You will be expected to collaborate closely with researchers across the groups at Imperial College London, the University of Surrey, King’s University, and with the broader worldwide network of collaborators.  About you Crucial skills include prior experience working with patients, particularly those with dementia or other cognitive disorders. Desirable skills include experience in assessing cognitive function using standardised and experimental tasks, conducting non-invasive brain stimulation and/or EEG recording procedures, and analysing EEG data. However, the role involves substantial training, including the opportunity to enrol in a PhD program, to bring the clinical fellow to the highest level of competence in those research approaches.  How to apply For more information and informal discussions, please contact Prof Dijk (d.j.dijk@surrey.ac.uk; 01483 689341) Please apply on the University website with your CV with a list of publications and presentations and cover letter detailing why you are interested in this job also answering the criteria questions.  Further details Job Description

Relocation support to help you settle into the stunning Orange region Access salary packaging and staff discounts with partnering corporates Join a dynamic and innovative physiotherapy team The role Continuing, full time (part time hours considered) Academic Level B/C - $113,841 to $160,308 pa (plus 17% superannuation) Location: Orange, NSW We are seeking an experienced physiotherapy professional to join the School of Allied Health, Exercise and Sports Sciences to actively deliver high quality teaching, contribute to curriculum development and foster student engagement using blended subject delivery modes. The successful candidate must have significant experience in contemporary musculoskeletal physiotherapy practice in an Australian context. The successful candidate must also have the capacity to teach across other areas of physiotherapy practice and a commitment to regional, rural and remote health and practice. About you A physiotherapy qualification A physiotherapy qualification appropriate to the level being applied for or equivalent accreditation and standing. Current practising registration as a Physiotherapist with the Australian Health Practitioner Regulation Agency (Ahpra). Additional qualification appropriate to the level being applied for or equivalent accreditation and standing. Significant experience in contemporary musculoskeletal physiotherapy practice in an Australian context. Sound knowledge of the discipline, including digital health and culturally safe health care, and experience in physiotherapy practice and research in rural and regional contexts. Commitment to delivering high-quality student-centred learning and teaching. About us We are a university of the land and people of our regions. True to the character of regional Australia we have gumption, we have soul and we collaborate with others. We develop holistic, far-sighted people who help their communities grow and flourish. The Wiradjuri phrase yindyamarra winhanganha means the wisdom of respectfully knowing how to live well in a world worth living in. This phrase represents who we are at Charles Sturt University - our ethos. It comes from traditional Indigenous Australian knowledge, but it also speaks to the mission of universities - to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the world. Learn more about the Faculty of Science and Health here. Learn more about the School of Allied Health, Exercise and Sports Sciences here. Visit our website to learn about our great range of employee benefits. Charles Sturt University is committed to building a diverse workforce as shown through our Athena Swan Bronze Award, our Australian Workplace Equality Index Bronze Award and our membership of a range of diversity focused organisations including Diversity Council Australia and Pride in Diversity. We encourage applications from First Nations people, carers, people from culturally and linguistically diverse backgrounds, people with disability, neurodivergent people, and people of all age groups, genders and sexualities for all roles. To apply Click the Apply button and complete your application online, and address the selection criteria in the position description and upload your CV. If you experience difficulties applying online or for further information on completing the application process please visit our how to apply page or contact us. This position is open to Australian Citizens and Permanent Residents; or applicants who hold a current valid work visa commensurate with this position. Further information Additional information is available in the position description(s) Level B - Lecturer Level C - Senior Lecturer or by contacting: Dr Cherie Zischke | Course Director and Lecturer in Physiotherapy | czischke@csu.edu.au | Ph: 02 6582 9465 Closing Date: 11pm, 6 April 2026