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Research Fellow

Australian National University - Canberra, ACT

Education, Childcare & Training
Source: uWorkin


Full Job Description
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: Graham.Williams@anu.edu.au

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.

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.

Application information

Applicants must apply online via the ANU recruitment portal and should upload the following separate documents:

A detailed curriculum vitae 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 statement addressing the selection criteria consisting of:
A 1-2 page statement outlining your experience in software engineering and contributions you have made to the open source software community.
A 1-2 page statement outlining your research objectives for the next 3 years if appointed, specifically related to one of the two projects identified above.
A 1-2 page statement outlining your approach to education and opportunities to enhance and innovate in education.
Other documents, if required

Applications which do not address the selection criteria may not be considered for the position.

The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

Canberra, ACT

Education, Childcare & Training


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