Research Fellow in Distributed Machine Learning For Wireless Networks
University Of Melbourne
About the School of Electrical, Mechanical and Industrial EngineeringThe School of Electrical, Mechanical and Infrastructure Engineering (EMI) undertakes teaching and research across a range of disciplines that are internationally recognised for their contribution to fundamental research. A major focus of the School is to attract and retain outstanding and internationally recognised academic staff. EMI is committed to increasing the number of female engineers and scientists on its staff.
About the Role You will conduct cutting-edge research within the context of the ARC Linkage Project “RAINBOW – RAdIo Networks Based On distributed machine learning for situation aWareness.” This interdisciplinary, basic research project (TRL 1-2) brings together exciting research topics of security games, wireless communication networks, and distributed and adversarial machine and deep learning. You will use advanced mathematical analysis supported by state-of-the-art simulation-based experiments to obtain novel research results, to be published in relevant Tier-1 conferences and journals.
You will be closely collaborating with other researchers, especially with the other Chief Investigators of the project from the School of Computing and Information Systems (CIS) as well as the industry partner Northrop Grumman Corporation, USA. Additionally, you will have opportunity to collaborate with PhD students working in the projects and may be required to undertake small amounts of teaching and research supervision directly related to your area of research.
Independently plan and carry out research on the nominated research project and work towards completion of the aims of the project.
Be responsible for generating novel research results based on simulations and mathematical analysis, and to communicate this information to the Chief Investigators and collaborators.
Contribute to teaching, training, scientific mentoring and supervision of students;
Supervise junior research staff in the appointee’s area of expertise;
About You You are a passionate researcher with a commitment to quality, as evidenced by publications in leading journals and conferences. You have excellent communication and interpersonal skills that enable you to work effectively with diverse stakeholders and communicate research concepts to technical and non-technical audiences. You have the time management and project management skills necessary to prioritise tasks and meet project milestones.
You will further have:
A PhD in Electrical Engineering or Computer Science, or closely related discipline.
Research experience in wireless communications and machine/deep learning.
Strong mathematical analysis as well as programming skills and familiarity with Python, Scipy and other machine/deep learning libraries.
Benefits of Working with Us In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:
Flexible working arrangements and generous personal, parental and cultural leave
Competitive remuneration, 17% super, salary packaging and leave loading
Free and subsidised health and wellbeing services, and access to fitness and cultural clubs
Discounts on a wide range of products and services including Myki cards and Qantas Club
Career development opportunities and 25% off graduate courses for staff and their immediate families
To find out more, please visit https: // about.unimelb.edu.au/careers/staff- benefits.
Advertised: 01 Jun 2022 12:05 AM AUS Eastern Standard Time
Applications close: 28 Jun 2022 11:55 PM AUS Eastern Standard Time