Postgrad Research Fellow in ML, Data Mining, Blockchain and IoT Security
Role type: Full time; Fixed-term for 2 years
Faculty: Faculty of Engineering and Information Technology
Department/School: Department of Electrical and Electronic Engineering
Salary: Level B – $110,236 – $130,900 p.a. plus 17% super
- Grow your research career in Signal Processing, Machine Learning, Data Mining and Internet of Things Security
- Work in the Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Group
- Solve challenges in building state-of-the-art solutions for engineering and defence applications
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 the School of Electrical, Mechanical and Infrastructure Engineering
The School of Electrical, Mechanical and Infrastructure Engineering undertakes teaching and research across a range of disciplines that are internationally recognised for their contribution to fundamental research. It has a number of well-established industry linkages and international partnerships. It is building a vibrant profile of interdisciplinary research, working with industry with an aim to contribute to society.
To find more about EMI, visit:
About the Role
The Research Fellow position in the Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Group, in the Department of Electrical and Electronic Engineering, has been established to attract outstanding doctoral graduates to the University in areas of research priority for the University and its faculties and in particular to recruit new researchers who have the potential to build and lead cross-disciplinary collaborative research activities inside and across faculties.
The Research Fellow will provide Machine Learning, Data Mining, Blockchain and Internet of Things Security solutions to solve challenges in building state-of-the-art solutions for engineering and defence applications. An enthusiastic applicant interested in translational research and an experienced all-rounder is favourable.
You will conduct independent research, leading to the preparation and publication of research outcomes in conferences and journals and submitting patents. You will be located in the Electrical and Electronic Engineering Department in the Faculty of Engineering and Information Technology (FEIT) and will be an active member of the Department, collaborating with other researchers and contributing to the departmental activities. In addition, you may undertake small amounts of teaching and research supervision directly related to your area of research, as required.
- Independently planning and conducting research on the nominated research project and work towards completion of the aims of the project
- Developing effective timelines and milestones based on goals of the research programme
- Performing data and microstructure analysis, and be responsible for qualitative and statistical analysis of research data and to communicate this information to the Chief Investigators and collaborators
For full details of responsibilities please refer to the attached position description.
As a researcher, you have the ability to perform independent research, analyse data, problem solving and maintain accurate research records and prioritise tasks to achieve project objectives within timelines. Your excellent communication and relationship management skills enable you to engage with staff and students at all levels and build networks with industry and other researchers, both local and international and to communicate research concepts to technical and non-technical audiences.
You will also have:
- A PhD in Electrical Engineering, Computer Science or closely related discipline
- A record of quality research as evidenced by publications in leading journals and at conferences commensurate with opportunity
- Capability for innovative research, as evidenced by scholarly publication
- Experience in supervision of students and/or research assistants is desirable
To ensure the University continues to provide a safe environment for everyone, this position requires the incumbent to hold a current and valid Working with Children Check.
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:
- Flexible working arrangements, 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, visit https://about.unimelb.edu.au/careers/staff-benefits.
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.
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 firstname.lastname@example.org.
Applications close: Tuesday 4 October 2022 11:55 PM AUS Eastern Standard Time