Research Associate in Deep Learning for Computer Vision
About the job
This position will contribute deep-learning and computer vision expertise to several research projects. The successful applicant will design software algorithms and perform numerical experiments. You will provide advice to postgraduate students within this research area in addition to preparing research papers for presentation at conferences.
For more information about the research group and its interests, please visit https://www.cls-lab.org/
Skills and Experience
You will have a PhD or equivalent research experience within computer science, electronic engineering or mathematics along with experience using at least one deep-learning library, such as tensorflow, caffe, or matconvnet, in conjunction with GPU hardware. Strong communication skills evidenced by your ability to work within a research team along with demonstrated project management experience will be highly regarded for 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 Working at UniSA. Applicants are required to upload a cover letter and resume only. For further information about the application process, please contact Sarah Hart, Human Resouces Officer on +618 8302 1700 or via email to firstname.lastname@example.org.
For further information about the technical skills and experience required for the project, please contact A/Prof. Mark McDonnell by email: email@example.com.
This position will remain open until a suitable candidate has been identified.
CLICK HERE to access a copy of the position description
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In addition to your salary, the University will make employer superannuation contributions of up to 17% of salary on your behalf. The amount of superannuation you are entitled to will depend on the nature of your employment. This can be clarified during the recruitment process. You will also be entitled to annual leave loading. See more benefits of working for UniSA
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