Research Associate, Deep Learning for Computer Vision, Level ARAS

Location
Mawson Lakes, Australia
Posted
22 May 2018
End of advertisement period
19 Jun 2018
Ref
IEE_1118_R_E
Contract Type
Fixed Term
Hours
Full Time
  • Based in the School of Information Technology & Mathematical Sciences located at Mawson Lakes campus
  • Full-time, twelve (12) month fixed term contract
  • Salary range: $85,680 - $91,969 per annum (plus super)

About the Job 

Through conceptualising and conducting original research, analysis and development independently, you will contribute to the research efforts of the School of Information Technology and Mathematical Sciences (ITMS). This will also include contributing to an ARC Discovery Grant, as well as an industry funded project in Robotic Vision. The Research Associate will be involved in designing software algorithms and performing numerical experiments for machine learning research, and under the direction of Associate Professor Mark McDonnell, you will also provide support to students. 

For more information, please visit http://www.cls-lab.org 

Skills and Experience 

You will have a PhD in computer science, applied mathematics, physics or electronic engineering along with evidence of high quality research outputs. Demonstrated skills and experience in designing, implementing and testing deep convolutional neural networks and associated algorithms for computer vision problems are also essential.  Strong communication and project management skills and the ability to work cooperatively in a research team with staff and students will also ensure success in this role. 

A University of Enterprise 

The University of South Australia (UniSA) is an innovative, outward-looking institution known for its strong and engaged research and its experientially-based teaching and learning that is conducted in close collaboration with business, industry, government and the professions.

In recent years, we have maintained a strong upward trajectory across a number of key indicators and are ranked among the world’s top 50 young institutions. We are committed to international education activities and alumni, graduates who are equipped to meet the demands and expectations of the worldwide workforce, a culturally diverse staff and increasing student mobility. 

Benefits on Offer 

At UniSA, we seek to enrich people’s lives through the creation and application of knowledge. Our staff love to be a part of an organisational culture that promotes a strong commitment to educating professionals, sharing knowledge, and engaging with our communities.  We offer a competitive remuneration package and we have a family friendly approach to ensure you enjoy a healthy work/life balance. 

Lodging your Application 

For a copy of the position description and to apply, please visit https://workingatunisa.nga.net.au/. Applicants are required to upload a cover letter and resume only. For further information, please contact Georgie Hart, Recruitment Consultant, Recruitment Central on +618 8302 1700 or via email to recruitment@unisa.edu.au using job reference number #1118. 

Applications will remain open until the position has been filled. 

Important Information:

  • Preview Application Form

In addition to your salary, the University will make employer superannuation contributions. The amount of superannuation you are entitled to will depend on the nature of your employment. You will also be entitled to annual leave loading, and other beneficial employment conditions. See more benefits of working for UniSA

How to apply:

Applications must be lodged online through Working at UniSA. If you experience any difficulty lodging your application visit FAQs. For further support contact Recruitment Central on +61 8 8302 1700 or email recruitment@unisa.edu.au and you will receive a response within one working day.

  • If you have NOT registered with our e-recruitment system, you can begin your Application by clicking the 'Begin' button below.
  • If you are unsure if you have registered before, click here and follow the steps
  • FORGOTTEN YOUR LOGIN DETAILS? click here and follow the steps

IMPORTANT: This site is optimised for – Internet Explorer 11.0 (or later browser versions), Safari, Firefox 3 (or later browser versions) and Chrome. Note that earlier versions of any browsers mentioned are supported, but likely to demonstrate slower response times.

By choosing to continue, you agree to the privacy policy. Show Privacy Policy