AddressJob no: 0062839
Location: Parkville
Role type: Full-time, Fixed term for 3 years
Faculty: Engineering and Information Technology
School: Computing and Information Systems
Salary: Academic A $105,518 – $113,262 p.a. plus 17% superannuation
- Conduct innovative research into the risks and defenses associated with generative AI, as part of the ARC Centre of Excellence for Automated Decision-Making and Society.
- Collaborate with leading experts across major Australian universities and benefit from extensive professional development opportunities, including international fellowships and access to a diverse network of industry partners,
- Salary packaging, subsidised health and wellbeing services, fitness and cultural clubs, public transport discounts, and a 25% discount on graduate courses to our staff and their immediate families!
About the Role
As a Research Fellow in Generative AI, you will play a critical role in the Australian Research Council Centre of Excellence for Automated Decision-Making and Society (ADM+S) project on Generative Authenticity. This three-year initiative aims to explore and mitigate the risks posed by generative AI in disrupting critical services, while developing and evaluating defenses to safeguard legitimate users. Working alongside top researchers from leading Australian universities, you will conduct groundbreaking research, publish your findings, and engage in collaborative efforts with the Centre's extensive network of international experts and industry partners. Additionally, you will have opportunities for professional development, teaching, and research supervision within the vibrant academic community of the School of Computing and Information Systems.
Your responsibilities will include:
- Independently plan and carry out research on the nominated research project, work towards completion of the aims of the project, and publish results of your research in top-tier venues;
- Develop effective timelines and milestones based on goals of the research programme;
- Contribute to teaching, training, scientific mentoring and supervision of students, including co-supervision of research projects for students at Masters or PhD level;
Who We Are Looking For
You will have a strong ability to communicate complex research concepts to both technical and nontechnical audiences, coupled with excellent skills in data analysis, problem-solving, and experimental evaluation of machine learning algorithms. Your proven experience in working independently, prioritizing tasks, and effectively engaging with stakeholders, along with exceptional written and verbal communication skills demonstrated through presentations and publications, will be key to your success in this role.
You will also have:
- A PhD in computer science or closely related discipline;
- A record of high-quality algorithmic research in machine learning (and preferably generative AI), as evidenced by publications in leading journals and conferences in the fields of artificial intelligence and machine learning, commensurate with opportunity
- Ability to perform independent research in machine learning, and a commitment to interdisciplinary research;
For further information regarding responsibilities and requirements, please refer to the attached PD.
The successful candidates must hold or be willing to obtain a valid Working with Children Check to ensure the University provides a safe environment for everyone.
Please note: Visa sponsorship is available for this position.
Your new team – The School of Computing & Information Systems (CIS)
The School of Computing & Information Systems (CIS) undertakes research and teaching across a range of information technology disciplines including Software Engineering, Information Systems, and Computer Science. CIS is the most highly ranked School of Computing and Information Systems in Australia according to all major rankings (THE, QS, ARWU). It offers a comprehensive range of IT and IS courses at all levels, including offerings in science, engineering, and business, and is at the forefront of computing research in Australia and internationally with close links to major computing research initiatives, including Melbourne Bioinformatics, CSL, The Cremorne Digital Hub and CSIRO’s DATA61.
What We Offer You!
In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out our benefits page!
About the University of Melbourne
We’re tightly connected with the community, both at home and abroad. We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website and stay connected with our stories and people on LinkedIn.
Be yourself
The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity. First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit our Diversity and Inclusion page.
We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require any reasonable adjustments with the recruitment process, please contact the email address listed at the bottom of the page.
Aboriginal and Torres Strait Islander applicants
We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.
For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring
Join us!
If you feel this role is right for you, please apply with the following documents:
- Resume
- Cover Letter outlining your interest and experience
If you have any questions regarding the recruitment process, please feel free to contact Shabon Nawabi via email at **********@unimelb.edu.au , ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.
