Research Fellow in Distributed Machine Learning for Wireless Networks

 
  • The University of Melbourne
  • Australia, Vic
  • Mar 3, 2023
Technology

Job Description:

Job no: 0056111
Location: Parkville
Role type:
Full time; Fixed-term for 12 months
Faculty:
Faculty of Engineering and Information Technology
Department/School: Department of Electrical and Electronics Engineering
Salary: L
evel A – $77,171 - $104.717 p.a. plus 17% super

The University of Melbourne would like to acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated, the Wurundjeri and Boon Wurrung Peoples, the Yorta Yorta Nation, the Dja Dja Wurrung People. We acknowledge that the land on which we meet and learn was the place of age-old ceremonies, of celebration, initiation and renewal, and that the local Aboriginal Peoples have had and continue to have a unique role in the life of these lands.

About - Faculty of Engineering and Information Technology
https://eng.unimelb.edu.au/

The Faculty of Engineering and Information Technology (FEIT) has been the leading Australian provider of engineering and IT education and research for over 150 years. We are a multidisciplinary School organised into three key areas; Computing and Information Systems (CIS), Chemical and Biomedical Engineering (CBE) and Electrical, Mechanical and Infrastructure Engineering (EMI). FEIT continues to attract top staff and students with a global reputation and has a commitment to knowledge for the betterment of society.

FEIT has never been better positioned as a global leader, anchored in the dynamic Asia Pacific region, creating and curating knowledge to address some of the world’s biggest challenges. Through our students and our relationships with communities, we can not only respond to society’s needs but anticipate and create engineering and IT solutions for the future.

About - Department of Electrical and Electronic Engineering
http://www.ee.unimelb.edu.au

The Department of Electrical and Electronic Engineering is a vibrant community of internationally recognised researchers focused on addressing major challenges in Power and Energy Systems; Communication Networks; Electronic & Photonic Devices and Materials; and Systems Engineering. We have long-standing, strong partnerships with industry and government that support our researchers in conducting high-impact research. The Department offers both PhD and Masters level research degrees, and our research graduates are highly sought after in academia and industry

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. While the research is conducted in collaboration with the project partner, Northrop Grumman Corporation, USA, all of the outcomes are openly shared in open repositories such as GitHub and published in international top-quality conferences and journals.

You are expected to use advanced mathematical analysis supported by state-of-the-art simulation-based experiments to obtain novel research results, which will then be published in relevant Tier-1 conferences and journals. You are either an expert on distributed machine learning excited about applying it to wireless networking domain and/or an expert on wireless networks excited about using modern machine learning methods in this domain in line with project objectives.

You will be located in the Department of Electrical and Electronics Engineering in the Faculty of Engineering and Information Technology (FEIT) and will be expected to be an active member of the Department. In addition, 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). You will also have an opportunity to collaborate with PhD students working on the project from both departments. You may undertake small amounts of teaching and research supervision directly related to your area of research, as required.

Responsibilities include:

About You
To be successful in this role you will bring excellent interpersonal skills, including an ability to interact with internal and external stakeholders (academic, administrative and support staff) courteously and effectively.

You will also have:

Please note: To be considered for this role you must have current valid work rights for Australia.

About the University
The University of Melbourne is consistently ranked amongst the leading universities in the world. We are proud of our people, our commitment to research and teaching excellence, and our global engagement.

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:

To find out more, visit https://about.unimelb.edu.au/careers/staff-benefits.

Be Yourself
We value the unique backgrounds, experiences and contributions that each person brings to our community and encourage and celebrate diversity. First Nations people, those identifying as LGBTQIA+, females, people of all ages, with disabilities and culturally and linguistically diverse people are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live.

Join Us!
If you feel this role is right for you, please apply with your CV and cover letter outlining your interest and experience. Please note that you are not required to provide responses against the selection criteria in the Position Description.

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 us at [email protected].

Applications close: Monday 3 April 2023 11:55 PM AUS Eastern Daylight Time