Research Fellow in Information Theory and Machine

2 weeks ago

Parkville, Australia University of Melbourne Full time

**Job no**: 0058903
**Location**:Parkville
**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 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**

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**

The Department of Electrical and Electronic Engineering is a vibrant community of internationally recognised researchers focused on addressing major challenges in Power Systems; Computation and 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 the postgraduate coursework Masters of Electrical Engineering. The Department also contributes to the Electrical Engineering Systems major in the Bachelor of Science.

**About the Role**

You will conduct independent research, leading to the preparation and publication of research outcomes in conferences and journals. You will be located in the Department of Electrical and Electronic Engineering in the Faculty of Engineering and Information Technology (FEIT) and will be expected to be an active member of the Department, collaborating with other researchers. You may undertake small amounts of teaching and research supervision directly related to your area of research, as required.

Responsibilities include:

- Providing expertise in design, analysis, and demonstration of learning algorithms with information-theoretic methods.
- Publication of high-quality research papers on the topic of information theory and machine learning.
- Actively participating in the communication and dissemination of research
- Effectively liaising with external networks to foster collaborative partnerships
- Contributing to teaching, training, scientific mentoring and supervision of students

**About You**
To be successful in this role you will have the capability for innovative research, as evidenced by scholarly publication. You will have excellent written and verbal communication skills, demonstrated by presentation of research results at conferences, internal forums and through manuscript submissions. You will also have experience in using initiative, working with mínimal supervision and ability to prioritise tasks to achieve project objectives within timelines.

You will also have:

- A PhD in electrical engineering (information theory, machine learning, communication, or signal processing) or neighbouring topics including, but not limited to, computer science, applied mathematics.
- A solid understanding of the theory of at least of one of the topics of information theory, statistical learning theory, communication systems.
- An excellent track record of quality research as evidenced by research publications in the top journals and conferences of the systems and control, computer science, or applied mathematics.
- Ability to perform independent research and a commitment to interdisciplinary research
- Demonstrated capacity to communicate research concepts to technical and non-technical audiences
- Excellent interpersonal skills, including an ability to interact with internal and external stakeholders (academic, administrative and support staff) in a courteous and effective manner

**About the University**
The University of Melbourne is consistently ranked amongst the leading universities

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