Research Fellow In Approximate Data Structures

at University of Melbourne

  • Join the number 1 University in Australia
  • Take your research further in data structures and algorithms on an Australian Research Council Discovery Project
  • 2-year appointment available for Level A ($91,125 - $97,812 p.a.) or Level B ($102,967 - 122,268 p.a.) plus 9.5% superannuation, commensurate with experience and qualifications relevant to the role

About Melbourne School of Engineering (MSE)

MSE is entering an exciting juncture as we work towards transforming engineering and IT research and teaching, guided by MSE 2025, our ten-year strategic plan. With an expected investment of $1 billion in people and infrastructure, we are creating the entrepreneurial leaders and technology of the future - the people and things that will drive innovation and productivity to make a sustainable impact on the world in which we live. MSE continues to attract the best staff and students with a global reputation and has a commitment to knowledge for the betterment of society. It's an incredibly exciting time to be joining MSE and CIS! Take a look at this video about Melbourne Connect, a new home for CIS in the near future -

About the School of Computing and Information Systems (CIS)

We are international research leaders focused on delivering impact and making a real difference in three key areas: data and knowledge, platforms and systems, and people and organisations. In Computing, the School was ranked number 1 in Australia and 14th in the world in the 2018 QS World University Ranking exercise. At CIS, you'll find multi-disciplinary work, collaboration and mentoring are at the core of our work: smart people, big societal challenges with plenty of opportunities to make a real difference in the world

The Opportunity

We have a fantastic opportunity for an innovative Research Fellow to work with a talented team of researchers in Approximate Data Structures for streamed data for the next 2 years.

You will work on an Australian Research Council Discovery Project contributing your research in approximate data structures for streamed data, in particular on low-memory devices. You will work closely with Professors Justin Zobel and Tony Wirth, wider staff and graduate researchers as the projects aims to improve event recognition and dramatic speedup in analysis of streams comprising, for example, finance, health, transport, or urban data.

Why we need you

To be successful, you will hold a PhD in Computer Science or related field, demonstrated ability in conducting research in algorithm design, along with strong data-structure programming skills (e.g., in C/C++). You will be versatile and passionate about research, and ready to play an active part in the life of the School of Computing and Information Systems, which at times may involve opportunities for supervision of Master's and PhD students and teaching. You will conduct independent research, leading to the preparation of teaching a subject and publication of research outcomes in conferences and journals.

What we offer you

Apart from competitive salaries, our benefits are aimed at recognising and rewarding the contributions you make. We offer complete flexibility, whatever that may mean for you. Many of our benefit programs and onsite amenities are aimed at supporting you - including generous leave, child care subsidies, discounted parking, medical and health care. We offer extensive opportunities for personal and professional development and we'll support you in doing what you love.

How to Apply

  • Apply online and complete the detailed application form.
  • You are not required to upload a resume or address the selection criteria for this position.
  • You are only required to complete the online application form.

About The University of Melbourne

The University of Melbourne is consistently ranked among the leading universities in the world, at number 1 in Australia and number 32 in the world (Times Higher Education World University Rankings 2017-2018). We are globally engaged, comprehensive, research-intensive, and committed to respond to the major social, economic and environmental challenges of our time.

While we take a look at your application, get to know us more and find out what it's like working at MSE by visiting

The University of Melbourne and MSE are strongly committed to supporting diversity and flexibility in the workplace. Applications for part-time or other flexible working arrangements will be welcomed and will be fully considered subject to meeting the inherent requirements of the position.

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