Reichman University

Ref.: 534478 Work type: Full-time Department: Department of Orthopaedics and Traumatology, School of Clinical Medicine (21000) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications are invited for appointment as Post-doctoral Fellow/Senior Research Assistant in the Department of Orthopaedics and Traumatology, School of Clinical Medicine (Ref.: 534478), to commence as soon as possible for one to three year(s), with the possibility of renewal subject to satisfactory performance. Research Context & Project Background The Department of Orthopaedics and Traumatology, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving diagnostic and therapeutic outcomes. The successful candidate will leverage the unique clinical resources of the Greater Bay Area and the advanced research facilities at the University to develop innovative treatments. Duties and Responsibilities Conduct research on medical image processing algorithms based on computer vision, deep learning and machine learning. Medical imaging modalities cover including but not limited to CT, MRI, X-ray and ultrasound images. Research tasks cover including but not limited to image segmentation, detection, classification, keypoint recognition, image registration, image synthesis, etc. Lead independent research projects and collaborate with partner medical institutions to complete the development, evaluation, translation, integration, deployment and other workflows of medical imaging-related algorithms. Deliver research outputs and achievements, including but not limited to drafting and filing patents, writing and publishing academic papers, and composing research grant proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position of Senior Research Assistant. Applicants with a PhD degree in the above-mentioned areas are eligible to apply for the position of Post-doctoral Fellow.  Applicants should possess minimum 3 years of research experience in image processing algorithms, with a solid foundation in computer vision algorithms. Preference will be given to those familiar with the principles of various medical imaging technologies, and possess extensive experience in developing deep learning algorithms Excellent programming skills (e.g., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required. Candidates with experience in quantitative CT algorithms, orthopedic imaging algorithms or other related fields are prioritized. Candidates with publications as first author in high-impact journals (medical or AI domains) or top-tier AI conferences are prioritized. Remuneration and Benefits A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.  Application procedure The University only accepts online application 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 31 May 2026, or until the post is filled, whichever is earlier. Enquiries about the duties of the post should be sent to Dr. Aaron D.S. Lau (aaronlau@connect.hku.hk).

Scope of Position: Duke-NUS Medical School invites applications for a full-time Assistant/Associate Professor in AI for Medical Education within the Office of Education. This innovative role will apply Artificial Intelligence technologies and approaches to support and enhance educational delivery, assessment, and learning experiences, while also contributing to curriculum development that prepares future physicians to practice effectively in an AI-enhanced healthcare environment. Working in close partnership with MD curriculum leadership, teams, faculty, administrators, and students, the successful applicant will co-lead and support initiatives to develop and integrate AI-powered educational tools across our MD curriculum, conduct research on AI applications in medical education, and design and deliver an AI literacy curriculum. This position represents a unique opportunity to shape the future of medical education at the intersection of technology and healthcare. The successful applicant will be eligible for faculty appointment at the Assistant Professor or Associate Professor level at Duke-NUS; rank will be commensurate with experience, achievement and recognition. The postholder will collaborate with clinician educators and scientists across all health professions and disciplines in the SingHealth Duke-NUS Academic Medical Centre. Roles and Responsibilities: Partner with curriculum teams to design, implement, and evaluate AI-powered educational tools such as intelligent tutoring systems, adaptive learning platforms, virtual patient simulations, etc Develop AI applications for personalized learning experiences that respond to individual student needs and learning patterns Support the development and deployment of AI-driven assessment systems that provide automated feedback, performance analytics, and competency evaluation Conduct original research on the effectiveness of AI applications in medical education Publish findings in peer-reviewed journals and present at national and international conferences Secure internal and external funding to support AI-driven educational innovation projects Collaborate with Education and IT teams to support learning analytics and educational data management throughout the School Contribute to the development and delivery of AI literacy curriculum for medical students Conduct workshops and training sessions for faculty on both using AI tools and teaching about AI Mentor students, health care educators and investigators interested in Artificial Intelligence for medical education Participate in the general teaching, service and administrative responsibilities of the Office of Education as determined by their Reporting Officer Develop strong working relationships with collaborators both within Duke-NUS and the wider SingHealth Duke-NUS Academic Medical Centre Appropriate duties as assigned by reporting officer Requirements Education: Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or closely related field Postdoctoral training or previous faculty appointment in Artificial Intelligence, Medical Education, Educational Technology or other relevant area is desirable but not essential   Technical Expertise: Demonstrated expertise in Artificial Intelligence and Machine Learning methods and their practical application Strong programming skills (Python, R, or similar languages) used in AI and data science development Experience developing, training, and deploying AI/ML models using modern frameworks and tools.   Knowledge of relevant AI domains such as Natural Language Processing, Computer Vision, and/or multimodal learning Familiarity with learning analytics, data management and educational/healthcare data environments Understanding of learning management systems or digital learning platforms is advantageous Experience: Minimum 3 years of experience in the development and practical use of AI/ML applications in educational contexts, healthcare settings or other relevant domains Experience with learning analytics and educational data mining Experience with human-centred design and user experience research Demonstrable commitment to research and scholarship. For example, research productivity, preferably in a higher education institute, healthcare organization or medical education setting; grant funded research as Principal Investigator or lead; peer reviewed research publications; visiting appointments; advisory roles; consultancy; other evidence of scholarly activities; knowledge creation, synthesis, application and dissemination Competencies: Knowledge of ethical considerations in AI, including bias, fairness, and privacy Exceptional time management, organizational skills and the ability to work on multiple projects simultaneously and meet project deadlines Accessible, calm, flexible, and mature individual with superlative interpersonal skills that permit him/her to work independently as well as in a team environment, to establish credibility with staff at all levels and of different disciplines and backgrounds, and to be persuasive in both one-to-one and group settings Commitment to maintain confidentiality and exercise discretion in sharing of information. Excellent written and verbal communication and presentation skills with ability to explain technical concepts to non-technical audiences Ability to translate Artificial Intelligence / Machine Learning techniques and Data Analytics approaches to medical education and practice Ability to mentor students and faculty in scholarship within the domain of Artificial Intelligence for medical education All applications including a letter of interest and a curriculum vitae should be submitted online. Informal enquiries are welcome and should be directed to Prof Fernando Bello (f.bello@duke-nus.edu.sg). We regret that only shortlisted candidates will be notified

First in Australia to offer a Bachelor of Paramedicine - lead the way Access to continuing education, leadership pathways, and academic support Prepare future health professionals for work in regional, rural and remote practice The role Full Time, Continuing (2 x positions available) - based on campus, Bathurst 12 month Fixed term (1 x position) for leave coverage - based on campus, Port Macquarie Level A - $80,046 to $108,204 pa (plus 17% superannuation) Level B - $113,841 to $134,965 pa (plus 17% superannuation) We are currently seeking a registered paramedic with relevant clinical and/or industry experience to deliver learning and teaching to undergraduate and postgraduate students. You will be teaching into the paramedicine program that includes the Bachelor of Paramedicine, Bachelor of Paramedicine (Honours), Graduate Diploma of Clinical Practice (Paramedicine), Post Graduate Certificate in Paramedicine (with specialisations), Graduate Diploma in Paramedicine (with specialisations) and the Master of Paramedicine (with specialisations). You will focus on supporting learning and teaching requirements and supporting students by providing feedback and guidance that achieves expected learning outcomes, encourages self-reflection and enhances the overall learning experience. A Working With Children Check (WWCC) and current registration as a paramedic with the Paramedicine Board of Australia are essential requirements for this role. This position is required for on-campus teaching and as such remote work options are not available. Generous assistance is available to help you relocate to Bathurst to take up this opportunity. We also invite applications from suitably qualified candidates seeking a fixed-term academic opportunities in paramedicine to support staff leave/ secondment coverage About you A qualification relevant to paramedicine or equivalent including clinical experience appropriate to the level being applied for. Current registration as a paramedic with the Paramedicine Board of Australia. Evidence of and a demonstrated commitment to the delivery of high quality student centred learning and teaching. Sound knowledge and understanding of paramedicine gained through industry experience and/or scholarly activities or similar. Masters qualification or experience in an ICP/ECP/CCP role is highly desirable (not-essential) 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 Nursing, Paramedicine and Healthcare 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, submit a "statement of suitability" demonstrating your skills, knowledge and/or experience relevant to the position (referencing 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 descriptions below: Level A - Position Description - Associate Lecturer in Paramedicine Level B - Position Description - Lecturer in Paramedicine or by contacting: Associate Professor Simon Sawyer | Associate Head (Staff Supervision and Development) - Paramedicine | sisawyer@csu.edu.au | Ph: (02) 6582 9326 Closing Date: 11pm, 8 March 2026