Adelaide University

Based in the College of Engineering and Information Technology Full-time fixed term contract until 31 March 2028 Salary Range Level B: $117,100 - $138,515 per annum (plus 17% superannuation) Salary Range Level C: $142,789 - $164,207 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 You will bring strong theoretical and practical expertise in Computer Science, Electrical Engineering or equivalent, with a relevant degree and PhD (or equivalent research experience), a track record of publications, and the ability to turn research into tangible outcomes. You’ll be a collaborative, hands-on team player, confident working with investigators and industry partners, with experience in experimentation, project delivery and, ideally, open-source reinforcement learning tools. The team Adelaide University’s School of Computer Science and Information Technology delivers industry-driven education and globally impactful research, equipping graduates & researchers with skills in artificial intelligence, cyber security, software engineering, and innovation to become impactful citizens of the digital society. Visit the AU website to learn more about the School of Computer Science and Information Technology 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 is an opportunity to join a vibrant team as we launch Australia’s new university for the future, Adelaide University. 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, for Level B: A PhD (completed or near completion) in Computer Science, Computer Engineering, Electrical/Electronic Engineering, Performance Engineering or a closely related discipline. Demonstrated research expertise in experimental computer systems, performance evaluation, benchmarking, computer architecture, embedded/HPC systems or a closely related area. Demonstrated experience designing controlled and repeatable experiments, including quantitative data analysis, statistical reasoning, validation and interpretation of results. Experience with FPGA, GPU or accelerator technologies. Familiarity with high performance or embedded computing Strong programming and data-analysis capability, preferably including Python and C/C++  A record of high-quality research outputs commensurate with opportunity and demonstrated ability to communicate complex technical findings clearly. Demonstrated ability to work collaboratively with software engineers, researchers and external stakeholders and to deliver against project milestones. Ability to work appropriately with sensitive project information and comply with applicable University and project security requirements. Australian Citizenship To join our community and thrive in this role, you will likely have the following skills and experience, for Level C: A PhD (completed or near completion) in Computer Science, Computer Engineering, Electrical/Electronic Engineering, Performance Engineering or a closely related discipline. Demonstrated research expertise in experimental computer systems, performance evaluation, benchmarking, computer architecture, embedded/HPC systems or a closely related area. Demonstrated experience designing controlled and repeatable experiments, including quantitative data analysis, statistical reasoning, validation and interpretation of results. Experience with systems profiling and measurement tools and with metrics such as latency, throughput, utilisation, memory bandwidth, power consumption and thermal behaviour. Knowledge of heterogeneous computing and one or more of CPUs, GPUs, FPGAs, SoCs/MPSoCs or specialised accelerators is highly desirable. Experience evaluating CPUs, GPUs, FPGAs, SoCs, DSPs or related computing platforms. Strong programming and data-analysis capability, preferably including Python and C/C++, A record of high-quality research outputs commensurate with opportunity and demonstrated ability to communicate complex technical findings clearly. Demonstrated ability to work collaboratively with and manage a small team of software engineers, researchers and external stakeholders and to deliver against project milestones. Ability to work appropriately with sensitive project information and comply with applicable University and project security requirements. Australian Citizenship 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 upload a document that includes your responses to all the experience criteria Submit your application by 11:30pm Sunday 27 Sep 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 (quoting reference number 493428). Evelyn Ruth Talent Acquisition Advisor +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au Applications are welcomed from Australian citizens, residing in Australia only. Appointment is subject to a Personnel Security Clearance at NEGATIVE VETTING LEVEL 1 being obtained and maintained. #LI-DNI

Based in the College of Engineering and Information Technology Full-time fixed term contract until 31 March 2028 Salary Range: HEO7 $103,719 - $116,002 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. Join a high-impact research project at the forefront of next-generation computing technology. As a Software Engineer, you’ll design, develop and maintain the software infrastructure that enables technology assessment, benchmarking, testing and evaluation of advanced computing platforms. You’ll work hands-on with CPUs, GPUs, FPGAs, SoCs/MPSoCs and accelerator-based architectures, building automated benchmarking capabilities, trusted toolchains, data collection systems and reproducible test environments. Work that matters This is an exciting opportunity to combine strong software engineering with interests in computer architecture, performance engineering and experimental systems research, while contributing to the evaluation of emerging technologies for demanding combat-system computing environments. You’ll play a key role in translating research concepts and candidate technologies into robust, instrumented and repeatable software/hardware test environments, with a focus on understanding performance and Space, Weight, Power and Cooling (SWaP-C) trade-offs. Curious to learn more? Explore the full role description to discover more about this opportunity. The team You’ll be part of a multidisciplinary team of researchers, engineers and Defence stakeholders working on the SWaP-C Optimisation Computer Technology Assessment research project. The team is focused on investigating, prototyping, integrating and evaluating current and emerging compute technologies, with an emphasis on practical, evidence-based assessment. Working collaboratively across research and engineering disciplines, you’ll help establish representative test and evaluation environments and an integrated, governed and version-controlled toolset to support future technology assessments. This is a collaborative environment where software engineering expertise directly contributes to research outcomes and helps shape the understanding and roadmap of advanced computing technologies. Visit the AU website to learn more about School of Computer Science and Information Technology. 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 is an opportunity to join a vibrant team as we launch Australia’s new university for the future, Adelaide University. 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: Relevant degree in Computer Science, Software Engineering, Computer Systems Engineering, Electrical/Electronic Engineering, or a closely related discipline, or equivalent professional experience. High-level software engineering capability in C/C++ and Python, including development, debugging, testing and maintenance of research or production-quality software. Strong experience with Linux-based systems, source control, build systems, scripting and automation, with desirable experience in CI/CD, containers and infrastructure automation. Demonstrated expertise in performance engineering, benchmarking, profiling and systems measurement, including designing repeatable experiments and analysing quantitative results. Knowledge of computer architecture and heterogeneous computing, with practical experience integrating hardware/software toolchains, drivers, SDKs, compilers, profilers or instrumentation across CPUs, GPUs, FPGAs, SoCs/MPSoCs or accelerators; strong technical communication and multidisciplinary teamwork skills. Ability to deliver project outcomes to agreed milestones, handle sensitive project information and comply with security requirements Australian Citizenship and eligibility to obtain an NV1 clearance required 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  upload a document that includes your responses to all the experience criteria Submit your application by 11:30pm Sunday 27 September 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 (quoting reference number 493427). Evelyn Ruth Talent Acquisition Advisor +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au  Applications are welcomed from Australian citizens, residing in Australia only. Appointment is subject to a Personnel Security Clearance at NEGATIVE VETTING LEVEL 1 being obtained and maintained. #LI-DNI #S-DNI 

Based in the Faculty of health, SAiGENCI 12 Months Fixed Term contract (1 FTE) extendable for further 2 years Level A - $103,962 - $111,384 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 in computational and systems biology to lead the mechanistic modelling stream of a new research program on adaptive resistance to targeted cancer therapy. The successful candidate will develop and calibrate mechanism models that link time-resolved signalling adaptation to drug exposure (PK), target and pathway modulation (PD), and tumour dynamics, with EGFR- and KRAS-driven non-small cell lung cancer as the flagship setting. A complementary stream applying machine learning to pharmacogenomic and patient-derived datasets to build deployable predictive biomarker panels offers additional scope. Work that matters The Integrative Network Modelling Group 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 both fundamental and translational challenges in oncology, including drug resistance, pathway rewiring, and the discovery of new therapeutic vulnerabilities. Beyond cancer specifically, our research explores broader questions regarding cell fate decisions, the hidden dynamics of complex signalling networks, and their underlying regulatory mechanisms. Our approach is deliberately cancer-agnostic, focusing on principles that generalize across various tumour types while exploring the governing and design principles that dictate complex signalling behaviour. A defining feature of our group is the tight integration of dynamic network modelling with experimental and clinical insight, enabling us to move beyond mere description and toward robust, actionable prediction. If you are a talented systems biologist driven by both curiosity and discipline, we want you on our team! The team The role is ideal for candidates with a strong background in applied mathematics, systems biology, and computational biology, as well as practical experience in dynamic model development and the analysis of large-scale biological data, who are excited to apply rigorous computational modelling approaches to real biological and biomedical problems. Support and mentorship will be provided to enable strong quantitative researchers to deepen their biological and translational 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: PhD (awarded, or submitted and under examination) in Computational Biology, Systems Biology, Applied Mathematics, Biomedical Engineering, or a closely related quantitative discipline, with demonstrated application to biological systems. Expertise in developing and applying ODE-based models of intracellular signalling, including model formulation, calibration, parameter identifiability, uncertainty and sensitivity analysis. Experience with agent-based or logic-based approaches is advantageous. Demonstrated ability to translate biological and clinical questions into practical computational frameworks, bridge wet- and dry-lab environments, and design model-informed experiments in collaboration with biologists and clinicians. Proven ability to translate complex computational outputs into meaningful biological and clinical insights. 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 a separate document that addresses the selection criteria Submit your application by 11:30pm Sunday 11 October 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 (quoting reference number 493454): Evelyn Ruth Talent Acquisition Advisor +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au #LI-DNI #S-DNI