IQS School of Management

Based in the Quantum and Nano Technology Group (QuaNTeG) in the School of Chemical Engineering at the Adelaide City Campus Full-time, fixed term contract for 24 months with the possibility of extension dependent on funding Salary Range: $102,024 - $109,307 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 In this role, you will help advance sovereign quantum technology by driving the development of cutting‑edge quantum devices and materials. Your work will strengthen Adelaide’s research leadership and support Australia’s rapidly growing quantum industry and defence capability. The role requires a strong foundation in radio frequency (RF) and low temperatures characterisation techniques, paired with a willingness to engage in theoretical activities. Curious to learn more? Explore the selection criteria to discover more about this opportunity. The team Working under the general direction of the Quantum and Nano Technology Group (QuaNTeG) Associate Professor, you will operate at the forefront of quantum materials research within one of the world’s most advanced sovereign quantum materials design and fabrication facilities. You will have the opportunity to combine theoretical modelling with hands‑on device implementation and testing, collaborating closely with academic partners and industry leaders such as the BECA Group and REQUIEM Systems. As part of the dynamic and inclusive College of Engineering and Information Technology, you will benefit from interdisciplinary collaboration, professional development opportunities and a cutting‑edge scientific environment. You will work with the team finalist at the 2025 Eureka prize. Visit the AU website to learn more about the School of Chemical Engineering. 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, fast‑moving research environment where each day brings new challenges, new ideas and meaningful interactions with world‑class colleagues and industry partners. 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:  A PhD in Quantum Physics or Quantum Device Engineering, and a good knowledge of radio frequencies measurements techniques.  Highly motivated with proven ability to conduct independent experimental quantum research with a strong commitment to achieving outcomes of high quality and on time. Good track record of high-quality publications and presentations, with a high level of interest in being involved in professional activities relating to research, relative to opportunity. Demonstrated ability to guide and oversee postgraduate and honours students in the research area. 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  The online application form will list the specific selection criteria that you need to address.  Submit your application by 11:30pm Sunday 3 May 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 492769):  Rachael Cossons Talent Acquisition Adviser +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au Appointment is subject to a satisfactory National Police Check (NPC) being obtained and maintained. 

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. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills.

Ref.: 534801 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for a joint Post-doctoral Researcher in the Faculty of Social Sciences (FOSS) at The University of Hong Kong (HKU) and Institute for Social Research (ISR) at University of Michigan (U of Michigan) (Ref: 534801), to commence as soon as possible, on a temporary term of one year, with the potential for a second year in ISR at U of Michigan. Background The Faculty of Social Sciences and Institute for Social Research are collaborating to foster cutting-edge areas in social sciences research. This joint post-doctoral researcher aims to support the next generation of leading social sciences researchers, by enabling them to develop a range of research skills in different contexts, working with mentors with different disciplinary and substantive expertise in the social sciences. The successful candidate will have the chance to work with leading researchers (mentors) in both FOSS and ISR to develop his/her research ideas and skills for a future career in academia or another research setting. He/She will work at HKU in the first year and is expected to spend the second year at U Michigan. He/She will be required to complete the necessary administration procedures (including recruitment, visa application) for taking up an appointment at U of Michigan, pursuant to relevant terms of employment. Duties and Responsibilities Produce high quality research on the research priorities and clusters of both FOSS (HKU) and ISR (Michigan) Support FOSS and ISR colleagues in research dissemination events Assist FOSS and ISR colleagues in the preparation of research reports Perform other research related duties for FoSS and ISR Requirements a Ph.D. degree in social sciences discipline from a recognized university, awarded within the past three calendar years, or expected to obtain a Ph.D. degree by the start of the fellowship (no later than December 1, 2026). Documentary proof of qualification may be required an outstanding record of research performance, with a research area that aligns with the focus of FOSS (HKU) and ISR (Michigan) good interpersonal, communication, organizational and problem-solving skills the ability to work under tight schedule to meet project deadlines the capability to work both independently and as part of a team experience with advanced social sciences research methods Applicants should indicate which mentors from FOSS (HKU) and ISR (Michigan) they could work with. There is no need to get their interest and support in mentoring before making application What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, medical benefits, etc. How to Apply The University only accepts online application for the above post. Applicants should apply online and upload the following documents at the University’s Careers site (https://jobs.hku.hk). A thesis abstract (up to 1 A4 page); A brief cover letter addressing the job requirements (up to 2 A4 pages); A key research output (if available); A research proposal (up to 2 A4 pages); A brief Curriculum Vitae (up to 2 A4 pages); Letters of support from the mentors (one from each of FOSS and ISR); and Names and contact details of three references, including one from their Ph.D. supervisor/advisor. Review of applications will start as soon as possible and continue until April 30, 2026 or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency