Scholarships

Postdoctoral position - UTS Data Science Institute

Applications close:  
March 24, 2022

Postdoctoral position - UTS Data Science Institute

Supervisors

Executive Director, UTS Data Science and Distinguished Professor The Data Science Institute

Description

The Data Science Institute at UTS is recruiting for a Postdoctoral Research Associate or a Postdoctoral Research Fellow (Data Science) to deliver high-quality results for government-funded research projects (equivalent to ARC Discovery Projects) as a contributor and a record of high-quality publication record in the fields of data mining, machine learning, data science, or a very closely related field.

This position will play a key role in integrative and multidisciplinary research in the development of dynamic 'big' data-driven models employing in-situ measures of soil and plant bio-geo-physical properties, remote sensing, land-use management, climate variables, and model simulations in support of a Food Agility funded "Rangelands Carbon" project.

This is a significant project for the Australian Rangelands which covers more than 75% of the Australian landmass. The Rangelands Carbon project is a $6.5million collaboration that will develop a remote sensing tool to accurately and affordably measure and predict soil carbon in Australian rangelands. This project incorporates several partners led by the Food Agility CRC and the Australian Agriculture Company (AA Co), along with Carbon Link, Cibolabs, Flintpro, UTS, Charles Sturt Uni, and Federation University.

The Data Science Institute has deep experience in helping businesses and government unleash value from their data that support evidence-based decisions. It delivers practical, innovative solutions to solve real-world challenges.

Base Salary Range: $93,219 to $129,345 pa (Level A – Level B)
This role attracts 17% superannuation (pension) in addition to the base salary.

Scholarship

How to Apply

Apply by
March 24, 2022
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Location

UTS Campus, Ultimo, Sydney NSW

Candidate Criteria

The role requires a Postdoctoral Fellow with a strong record of performance in their field. The position will be embedded into the research project and will work to integrate the data sets which will enable the project to develop tools, and processes to reduce emissions in the rangelands via carbon projects incorporating the required practice changes for the land managers. The role will require you to have proficiency in data science, data collation, geospatial data, dynamic earth systems, image analyses. The role will also require you to:‍

  • Integrate complex data sets from multiple partners within the research project
  • Undertake thorough analysis and interpretation of the project data, present information, and results
  • Undertake soil survey and/or field trials which will require periodic travel in remote areas
  • Develop a whole farm/landscape model that processes climate, soil, vegetation, grazing, and farm management practices data.

Candidate criteria includes:

  • A PhD Degree in engineering, science or earth systems (soils, ecology, vegetation) with a strong knowledge of data analysis, machine learning, carbon sequestration, remote sensing and geospatial models, Earth System datasets such as soil-plant carbon models and soil and plant bio-geo-physical properties; land use management and land cover change; time series analysis.
  • Programming skills in MATLAB and/or Python, machine learning, visualisation, etc.
  • Demonstrated experience in data mining, data analysis, machine learning, remote sensing, and working with earth observation datasets.
  • Advanced database skills, along with intermediate to advanced GIS and remote sensing skills