ARC Grant-Funded Researcher (A) School of Computer Science

Updated: 6 months ago
Location: Adelaide, SOUTH AUSTRALIA
Job Type: FullTime
Deadline: 15 Nov 2020

Job no:504709
Work type:Fixed term - Full-time
Categories:Faculty of Engineering, Computer & Mathematical Sciences, Level A

(Level A) $88,286 to $94,588 per annum plus an employer contribution of 9.5% superannuation will apply

The University of Adelaide Enterprise Agreement 2017-2021 will apply to a successful candidate’s employment at the University.  The University recently temporarily varied its Enterprise Agreement.  Please be advised that the salary range, along with other conditions associated with this position, may change in accordance with the variation to the Enterprise Agreement.

This is a Fixed Term position available for 12 months with the possibility of a further 12 month extension

Flexible work arrangements can be negotiated with the right candidates

We have recently secured funding to conduct research into Large Scale Deep Learning from ARC.

The main goal of this project is the development of high-performance deep learning at a large scale. We are interested in unifying fundamental computer vision tasks such as object detection, semantic segmentation and instance segmentation into one single framework, such that these tasks can be better trained, and easier to deploy. We are also interested in developing efficient neural architecture search methods, and fast inference techniques. 

The position will suit applicants with a background in Computer Vision, Machine Learning/Deep Learning.

Within the project there will be considerable room for original research, which we expect will lead to publications in big data, computer vision and machine learning conferences and journals.

To be successful you will need:

  • A PhD in a relevant discipline of Computer Science, or electronical engineering.
  • A demonstrated and appropriate research track record, commensurate with project experience; Strong publication record in top-tier venues. Candidates shoud have 3+ publications in the following venues: CVPR, ICCV, ECCV, ICML, NeurIPS, IJCV, TPAMI.
  • Good programming skills in C/C++, and Python.
  • Strong interpersonal, communication skills; fluency in written and spoken English.
  • Commitment to the principles of equity, diversity and inclusion.

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity. We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

The Faculty of ECMS aims to increase the diversity of its staff population and applications from women are particularly encouraged.  To support our staff and students in their academic lives, the faculty celebrates diversity and has a range of programs available including:

  • A variety of flexible working arrangements
  • Support to staff with caring responsibilities to participate in conferences, workshops, field trips and other approved work-related travel
  • Research support schemes designed to support female academics to enhance and promote their career
  • Childcare facilities
  • Women’s professional development network opportunities

In addition, we offer salary packaging; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at:

Your faculty's broader role

The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are world leaders in their fields, and graduates are highly regarded by employers.

We proudly support gender and cultural diversity and are passionate about creating a more vibrant and enriching community of staff and students.

Learn more at:

If you want to change tomorrow, act today

Click the link to the online application form below and address and upload your responses to all selection criteria outlined in the selection criteria statement. Application closes 11:55pm, 15 November 2020.

For further information

For a confidential discussion regarding this position, contact:

Chunhua Shen
Professor, School of Computer Science
P: +61 (8) 8313 6745

You'll find a full selection criteria below: (If no links appear, try viewing on another device)

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.

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