CSIRO Postdoctoral Fellowship in Deep Video Analytics for Fisheries Management, Hobart TAS, or Sydney NSW, Australia



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We are seeking a highly motivated PhD graduate with a desire for substantial impact in natural resource management and conservation, and an interest in applying deep-learning video analytics for fisheries management.

You as the successful candidate will join an internationally recognised team in machine learning and fisheries management. You will work on deep learning-based video analysis for species identification in electronic monitoring of fishing operations.

Find out more by viewing the full position description and selection criteria here:  Position description

Your duties/responsibilities will include:

  • Under the direction of senior research scientists, carry out innovative, influential research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes.
  • Develop and implement machine learning applications for fish detection and species identification using video footage, and supervising the preparation of training data.
  • Deliver an error rate analysis of the fish detection and species recognition algorithms.

Location:      Hobart TAS, or Sydney NSW
Salary:          AU$80K – AU$91K plus up to 15.4% superannuation
Tenure:         3 year specified term
Reference:    56994

To be successful you will need:

  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as computer science, mathematics, electrical engineering and other relevant discipline.
  • Demonstrated experience in conducting research and development activities in image and video analysis, computer vision, more specifically in the area of machine learning based image/video analysis for object detection and classification.
  • Demonstrated experience in developing software with one or more programming languages such as: C++, C#, Python, Matlab.

Owing to the terms of the fellowship, candidates must not have more than 3 years of relevant full time postdoctoral experience.

About CSIRO

We imagine. We collaborate. We innovate.

At CSIRO, we do the extraordinary every day. We innovate for tomorrow and help improve today – for our customers, all Australians and the world. We do this by using science and technology to solve real issues. Diversity is the compass that navigates our innovation. We provide an inclusive workplace that respects, values and actively pursues the benefits of a diverse workforce.

We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you.  Find out more Balance

How to Apply:  If you wish to apply for this position, please load your CV and cover letter (Maximum 2MB) via our website . You may also be required to respond to some screening questions.

Applications Close:  11:59pm AEST, Tuesday 19 June 2018

 

 

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