Australian National University

Classification: Academic Level B Salary package: $121,598 - $137,870 per annum plus 17% superannuation  Term: Full time, Fixed term (until March 2029) Position Description and Selection Criteria: PD and PEWER Research Fellow_561790.pdf The position will provide opportunities to Conduct cutting edge research in AI and algorithms.  Opportunity to supervise research students and work as part of a larger team.  Opportunities for inter-disciplinary collaborations, and collaborate with industry and government. About the College The ANU by 2025 Strategic Plan calls for the University to serve society through transformational research and education. As one of the great universities of the world, The Australian National University is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems & Society (CSS) hosts three of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College directly supports one of the four pillars of ANU by 2025: to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation post COVID-19.  We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective. CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College comprises of five schools and centres: the School of Computing, School of Cybernetics, School of Engineering, the Fenner School of Environment of Society and the Australian National Centre for the Public Awareness of Science, all supported by the Professional Services Group. The School of Computing has a strong foundation in computing and information sciences at the University. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture. About the opportunity The successful candidate will develop independent and collaborative research in the area of Machine Learning, Natural Language Processing, and Algorithm Design, and work in a diverse cross-disciplinary team with researchers and external stakeholders within industry and government. The Research Fellow is expected to contribute across all three areas of academic activity: research, education, and service. This includes actively seeking external research funding, contributing to undergraduate and postgraduate teaching, supervising Honours, Masters and PhD students, mentoring early-career researchers, and engaging in outreach and service activities within the School, College and broader community.  Enquiries To enquire about this role, please contact Jing Jiang, E: jing.jiang@anu.edu.au or Ahad Zehmakan, E: ahadn.zehmakan@anu.edu.au Our commitment to diversity, belonging, inclusion and equity The University is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Systems & Society to actively seek a gender mix of shortlisted candidates for interview. For more information about staff equity at the University, visit https://services.anu.edu.au/human-resources/respect-inclusion We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. If your experience looks a little different to what we’ve described, but you’re passionate and motivated by this position, we welcome your enquiry and application.  What we offer The University provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources How to apply Applicants must apply online via the ANU recruitment portal and should upload the following separate documents:  A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form.  A 2-page statement addressing the selection criteria. Other documents, if required.  Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.  Closing date: Tuesday, 31 March 2026, 11.55PM (AEDT)

Classification: Academic Level B Salary package: $121,598 to 137,870 per annum plus 17% superannuation Term: Full Time, Fixed Term (up to June 2030) Position Description and Selection Criteria:PD_PEWER_2025 - Research Fellow - Academic Level B.pdf The Position The candidate will be part of the ANU Phylogenomics Group, which is a productive and vibrant research group that works on a variety of topics connected to phylogenetic software, methods and models, molecular evolution, hybridisation and introgression, and the evolutionary histories of eucalypts, viruses, bacteria, and Archaea. The ANU Phylogenomics group is co-led by Professor Robert Lanfear and Associate Professor Minh Bui (the lead developer of IQ-TREE) and typically comprises 10-15 researchers at all levels from undergraduate to postdoctoral fellows. Your involvement in this exciting field will include taking a lead role in developing and implementing new methods and software to improve phylogenetic inference. The focus will be on developing new mixture models and implementing them efficiently so they can be used to estimate very large phylogenies. You will have significant freedom to develop and pursue your own research ideas within the scope of the project and will be supported in applying for external funds and fellowships, and in contributing to relevant teaching opportunities to further develop your career. You will be expected to take a lead role on projects, including co-supervising research students, developing internal and external collaborations, and presenting your work at national and international conferences. You will be expected to develop and run workshops to introduce your work to end users. For further detail on the Lanfear Lab, our ideals and goals please visit our webpage: http://biology.anu.edu.au/research/labs/lanfear-lab-mutation-molecular-evolution-and-phylogenetics The Person You will need to have a detailed understanding of cutting-edge methods and algorithms in maximum-likelihood phylogenetic inference, as well as the skills to develop new methods and write efficient open-source software to implement them in the IQ-TREE software. A record of recent publications in this area and a demonstrated commitment to open-source software development will aid in the success of your application. You will also need to have experience in supervising research students and applying for external grants and fellowships. Full details of the role are provided in the selection criteria. If you have expertise across these fields and want to lead the development of new ideas, methods, and software you should apply. The School The Research School of Biology is devoted to the study of biological processes in plants, animals and humans. It is home to over 60 academics and their research groups, which for purposes of research support and administration are subdivided into the three Divisions: Ecology and Evolution; Plant Science; and Biomedical Science and Biochemistry. You will be based in the division of Ecology and Evolution, which houses research groups that run the gamut from behavioural ecology to genomics. RSB, and the Division of Ecology and Evolution, are friendly and supportive places to work, and offer a stunning working environment both professionally and geographically. The College The ANU College of Science and Medicine encompasses the disciplines of: Astronomy, Biology, Chemistry, Earth Sciences, Environment and Society, Mathematics, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres. Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities. To find out more about the Science at ANU community, follow us on social media at Instagram and Facebook For further information please contact, Robert Lanfear, E: rob.lanfear@anu.edu.au The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities. For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing each of the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria individually may not be considered for the position. Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Tuesday, 24/03/2026, 11.55PM (AEDT)

Classification: Academic Level B Salary package: $121,598 to $137,870 per annum plus 17% superannuation Term: Fixed term appointment (up to 3 years) Position Description and Selection Criteria: Research Fellow The Position The Research School of Earth Sciences (RSES) is seeking to appoint a Research Fellow to undertake high-impact research at the interface of geodynamics, plate tectonics, and data-driven Earth science. The successful candidate will develop independent and collaborative research that integrates large-scale geodynamic and plate-reconstruction modelling with advanced statistical and machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper-favourable environments, publishing original research in leading international journals, and presenting results at national and international conferences. The Research Fellow is expected to contribute across all three areas of academic activity: research, education, and service. This includes actively seeking external research funding, contributing to undergraduate and postgraduate teaching, supervising Honours, Masters and PhD students, mentoring early-career researchers, and engaging in outreach and service activities within the School, College and broader community. The allocation of effort across these areas will be discussed annually with the supervisor and aligned with the appointee’s research agenda and School needs. The position reports to Professor Rhodri Davies and offers the opportunity to play a leading role in interdisciplinary research that links numerical modelling, geological and geophysical data, and mineral systems science. The Person The successful applicant will hold a PhD in Earth Sciences, Geophysics, Computational Geoscience, or a closely related discipline, and will demonstrate a strong track record of independent research that integrates numerical modelling with geological or geophysical datasets. You will have experience with plate reconstruction tools such as GPlates and geodynamic modelling frameworks (for example G-ADOPT or equivalent), alongside demonstrated capability in statistical inference and/or machine-learning approaches. You will be able to articulate and prosecute an innovative interdisciplinary research vision, contribute new modelling or analytical methods, and integrate diverse datasets to deliver quantitative and predictive geological insights. A background or experience in mineral systems, mineral exploration, and/or economic geology is desirable but not essential. You will demonstrate a commitment to securing competitive external research funding, the ability and willingness to teach at undergraduate and postgraduate levels, and a strong track record (or clear potential) in supervising and graduating high-quality research students. You will be a collaborative colleague with excellent communication skills, able to work productively in a cross-disciplinary academic environment and contribute positively to team-based research and teaching. The School The Research School of Earth Sciences (RSES) is Australia’s leading academic research institution for Earth science, with an international reputation for excellence and innovation across experimental, analytical and computational approaches. RSES provides a vibrant, collegial research environment with strong national and international collaborations, world-class facilities, and a commitment to addressing fundamental and societally relevant questions about the Earth system. The College The ANU College of Science and Medicine encompasses the disciplines of: Astronomy, Biology, Chemistry, Earth Sciences, Environment and Society, Mathematics, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres.  Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities.  To find out more about the Science at ANU community, follow us on social media at Instagram and Facebook For further information please contact, Prof. Rhodri Davies, E: rhodri.davies@anu.edu.au  ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities. For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Monday, 23 March 2026, 11.55PM (AEDT)