Postdoctoral Research Fellow / Research Officer in Machine Learning and Data Fusion

University of Queensland

Postdoctoral Research Fellow / Research Officer in Machine Learning and Data Fusion


Job No:510210

Area:Qld Alliance for Agriculture and Food Innovation
Salary (FTE):Academic Research Level A1 ($69,342.89 - $92,782.26)
Work type:Full Time - Fixed Term
Location: St Lucia, Gatton

Queensland Alliance for Agriculture and Food Innovation (QAAFI) 

QAAFI is a research institute of the University of Queensland (UQ) which was established in 2010 and comprises of four research centres – the Centre for Crop Science, the Centre for Horticultural Science, the Centre for Animal Science and the Centre for Nutrition and Food Sciences.

QAAFI's team of 450 researchers, postgraduate students and support staff undertake high impact science for agriculture and food industries. The institute’s strong partnership with the Queensland Government provides our researchers with a direct link to the agriculture industry in Queensland, and world class field research facilities throughout Queensland. Agriculture is one of UQ’s highest ranked research fields nationally and internationally and QAAFI is a global leader in agricultural research in subtropical and tropical production systems.

 About This Opportunity

You will develop data fusion algorithms integrating multi-modal machine learning, remote sensing and crop modelling in support of the GRDC funded  “CropPhen: Remote mapping of grain crop phenology and crop type prediction” project. You’ll attend technical meetings with research sponsors, present regular research seminars and secure research funding from internal and external sources including the Commonwealth research granting agencies, the state government and industry.

This position is primarily located at our picturesque Gatton Campus. Work weeks split across our Gatton (minimum three days a week) and St Lucia campuses can be negotiated.

Our Ideal Candidate

You will have completed or be near completion of a PhD in the area of Machine Learning, Data Science, Computational Mathematics/Physics with a strong background in either Crop Physiology, Crop Modelling and/or Remote Sensing. Experience in the design and application of multi-modal data fusion algorithms to support systems modelling is essential. You’ll have strong programming skills and will be confident using cloud based (e.g. Google Earth Engine) and/or high performance computing platforms as well as ML software and libraries such as TensorFlow and/or Pytorch.

Knowledge and experience in plant/crop development would be desirable. As well as previous contributions to successful external grant applications and experience liaising and collaborating with external agencies to develop co-operative research initiatives.

We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to recruitment@uq.edu.au.

What We Can Offer

This is a full-time, fixed term (three year) position at Research Academic Level A.

The full-time equivalent base salary will be in the range $69,342 - $92,782 plus super of up to 17%. The total FTE package will be in the range $81,131 - $108,555 per annum.

You will be able to take advantage of UQ Sport Facilities, recreation leave loading (of 17.5%), salary sacrificing options, on-campus childcare, discounted private health insurance, affordable parking, development programs and many other benefits.

For further information, please review The University of Queensland's Enterprise Bargaining Agreement 2018-2021.

Position Description

Download File PD_Research Officer_Postdoctoral Research Fellow – Machine Learning & Data Fusion.pdf

Questions?

To discuss this role please contact Dr Andries Potgieter.

Want to Apply?

To submit an application for this role, use the APPLY NOW button below. All applicants must supply the following documents:

  • Cover letter
  • Statement addressing key selection criteria
  • Resume

To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQJobs portal by the job closing deadline. Applications received via other channels including direct email will not be accepted.

Advertised: 05 May 2020

Applications close: 04 Jun 2020 (11:00 PM) E. Australia Standard Time