Research Fellow

Classification: Academic Level B Salary package: $99,809 – $113,165 plus 17% superannuation Term: Full time, Fixed Term (3 years) College overview The ANU College of Engineering and Computer Science (CECS) is dedicated to contributing to The Australian National University’s reputation for excellence in research and research-led education, bringing together expertise across a range of areas to reimagine the role of engineering and computing for future generations. CECS is a diverse and vibrant community dedicated to discovery and to making knowledge matter. Our academics and students are engaged in ground-breaking, cutting-edge research, in exciting areas such as renewable energy, robotics, telecommunications, biomaterials, human-machine interaction, and artificial intelligence. The School of Computing is unique in Australia. It includes a creative mix of staff and students that embrace the breadth of computer science profession. It is a diverse and vibrant community dedicated to discovery and to making knowledge matter. It contains world-class academics undertaking high-quality research, training of research students and delivering coursework teaching programs. Position overview This position is a fixed term appointment for a period of three years to research and engineer solutions and frameworks within one of the two project areas: Accessible AI and Privacy Through Extremely Distributed Machine Learning. Applications are particularly invited from researchers and software engineers with interests and expertise in the areas of Data Science, Machine Learning and Software Engineering. The positions are situated within the School of Computing, aligning with a mandate to explore new approaches to educating future Data Scientists through Software Engineering. We particularly 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 or who have achieved excellence in careers outside of academia. Project 1: Accessible Artificial Intelligence Delivering new technology to make Artificial Intelligence, Machine Learning and Data Science accessible. Developing a new software framework that enables state-of-the-art machine learning, artificial intelligence and data science technology as it emerges from research to be readily available and easily utilised. Project 2: Privacy Through Extremely Distributed Machine Learning Inventing the future for privacy through massively distributed Machine Learning. Research how encrypted data can be massively distributed and yet still available for machine learning algorithms to build artificial intelligence systems and Data Science processes delivery significant benefit to the individual whilst contributing to improved society. The successful candidate will be working on one of these projects. To enquire about these positions please contact the Chief Scientist, Software Innovation Institute, School of Computing, Professor Graham Williams T: +61 2 6125 3195, E: ANU values diversity and inclusion and believes employment opportunities must not be limited by socio-economic background, race, religion or gender. The University actively encourages applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is policy in the ANU College of Engineering and Computer Science to require selection panels to seek a gender balance when compiling shortlists of candidates for interview. For more information about staff equity at ANU, visit The ANU 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. This also includes generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, ANU school holiday programs, and childcare facilities on campus. For more information, please visit