Adelaide University

Based in the Faculty of health, SAiGENCI 36 Months Fixed Term contract (1 FTE) Level A - $102,024 - $109,307 per annum plus an employer contribution of 17% superannuation applies At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are seeking a highly motivated Postdoctoral Research Fellow with strong expertise in computational and network modelling to join a growing, interdisciplinary research program in computational systems oncology. This is a broad and flexible role not tied to any single predefined project. The successful candidate will contribute to a range of modelling-driven projects that tackle key questions in cancer biology, such as understanding mechanisms of adaptive and acquired drug resistance, exploring network-level control and feedback in cell signaling systems, identifying novel drug targets and therapeutic strategies, and developing predictive models of treatment response and pathway rewiring. Work that matters The Integrative Network Modelling Laboratory (INML) within the Computational Systems Oncology program at SAiGENCI sits at the intersection of mathematics, computation, and cancer biology. We develop mechanistic, predictive models of cellular decision-making to address fundamental and translational challenges in cancer, including drug resistance, pathway rewiring, and the discovery of new therapeutic vulnerabilities. Our work is deliberately cancer-agnostic, focusing on principles that generalize across tumour types. A defining feature of the lab is the tight integration of dynamic network modelling with experimental and clinical insight, enabling us to move beyond description toward prediction. If you’re a great modeller with curiosity and discipline, we want you!. The team The role is ideal for candidates with a strong background in applied mathematics, physics, engineering, or computational biology who are excited to apply rigorous modelling approaches to real biological and biomedical problems. Support and mentorship will be provided to enable strong quantitative researchers to deepen their biological expertise over time. Visit the AU website to learn more about SAiGENCI Our people  Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is ideal for someone who thrives in a collaborative and innovative environment with international visibility, and high-impact, conceptually driven cancer research. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To thrive in this role, you will likely have the following skills and experience: Develop and apply mechanistic, network-based, and ODE-driven models to study complex biological systems in computational systems oncology. Translate biological and clinical questions into robust mathematical and computational modelling frameworks across diverse projects. Collaborate closely with experimental biologists and clinicians to integrate models with biological data and pathway knowledge and interpret results meaningfully. Disseminate research through high-quality publications and contribute to grant writing and collaborative proposals. Support the research environment by mentoring students and actively participating in lab, institute, and collaborative activities. Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Build on your career with Adelaide University now Applying is simple. Simply click on the Apply Now button and upload: your current CV a cover letter that tells us why you’re excited about the role The online application form will list the specific selection criteria that you need to address. Submit your application by 11:55pm Monday 9 March 2026. The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. For further information about this opportunity, please contact: Evelyn Ruth Talent Acquisition Advisor evelyn.ruth@adelaide.edu.au

Based in College of Health at the North Adelaide facilities Full-time, 12-month fixed term contract Make a positive impact improving lung health, across a range of laboratory and imaging programs. Role Summary This role will help to develop lung function-based respiratory biomarkers through AI, machine learning and image processing technologies to lung ventilation data acquired from a functional lung imaging modality called X-Ray Velocimetry (XV). At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters XV is a revolutionary lung imaging technology developed by Australian company 4DMedical. XV enables lung motion and airflow to be tracked over time. This allows the location and intensity of lung disease, and its resolution with treatment, to be measured. XV produces a very rich 4D dataset (3 spatial dimensions + time), showing lung expansion and contraction, and we are working on understanding the best methods for interpreting this data. The successful applicant will work with the ReXIl team, AIML, and 4DMedical to turn data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease progression, and identifying patterns in imaging data that correlate with clinical outcomes. We anticipate the project will lead to production of scientific papers and dissemination of results through conferences. Curious to learn more? Explore the full role description below to discover more about this opportunity.   The team The ReXIL and Cystic Fibrosis Airway Research Groups are a team based in Respiratory Medicine at the Women’s and Children’s Hospital. We are dedicated to developing approaches to improving and quantifying lung health, across a range of laboratory and imaging programs. The position will be based primarily at the Women’s and Children’s Hospital in North Adelaide and the Australian Institute of Machine Learning. Visit the AU website to learn more about our research group here. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is perfect for someone who enjoys variety and meeting new people. You will experience a range of tasks and interactions, keeping your workday interesting and engaging. Perfect for researchers who enjoy a stimulating environment, this role involves collaboration and innovation. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience  To join our community and thrive in this role, you will likely have the following skills and experience:  Completion of a relevant doctoral qualification using image processing, artificial intelligence / machine learning or data science/advanced statistical methods. Strong experience with scientific computing and data analysis, ideally using python or an equivalent language. A strong record of producing peer reviewed research-based publications in areas directly related to image processing or artificial intelligence / machine learning. Demonstrated high level organisational skills, including the ability to plan and coordinate projects, prioritise and manage workload within a busy environment and to meet deadlines, and function largely autonomously with excellent problem-solving capabilities. Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Applying is simple. Simply click on the Apply Now button and upload:  your current CV  a cover letter that tells us why you’re excited about the role  Submit your application by 11:55pm 27 February 2026 The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.  For further information about this opportunity, please contact:  Martin Donnelley Associate Professor | Women’ and Children’s Health P: +61 (8) 8161 9181 E: martin.donnelley@adelaide.edu.au

Based in the School of Animal and Veterinary Sciences, Roseworthy Campus Full-time (1.0 FTE), continuing position (Level B) $114, 917 - $135,932 per annum (plus 17% superannuation) At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters This role plays a vital part in delivering high-quality clinical veterinary education, supporting the development of competent, compassionate graduates who contribute to animal health and community wellbeing. The team Reporting to the relevant academic leader, this role sits within the School of Animal and Veterinary Sciences and contributes to clinical teaching and service delivery across veterinary programs. Visit the AU website to learn more about The School of Animal and Veterinary Science Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is ideal for someone who enjoys clinically-relevant teaching, working closely with students and colleagues in a team-based, practical learning environment. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience  To join our community and thrive in this role, you will likely have the following skills and experience:  Degree in Veterinary Science or a PhD in an equivalent discipline Experience delivering lectures, tutorials, practical classes and clinical sessions in veterinary science Demonstrated innovative teaching practices and curriculum development experience Clinical experience in small animal practice, including anaesthesia and routine surgical procedures Strong teamwork, communication and interpersonal skills in a clinical teaching environment Ability to support, develop and potentially manage a clinical skills centre Capacity to contribute to research, including grants, publications and project management Our commitment to inclusion and diversity  We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process.  Launch your future with Adelaide University now  Applying is simple. Simply click on the Apply Now button and upload:  your current CV  a cover letter that tells us why you’re excited about the role Submit your application by 11:30pm Tuesday 24 February 2026 The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. Please note that the role description is not attached to this advertisement as it is currently being finalised.  For further information about this opportunity, please contact:  Simone Patterson Talent Acquisition Adviser +61 8 8302 1700 careers.adelaideuniversity@adelaide.edu.au