Research Scientist - Digital Crops, CSIRO

CSIRO

Location:

Australia, Canberra ▼

Category:

Research and Development

Contract Type:

Employment contract

Salary:

114000.00 - 123000.00 AUD / Year

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Job Description:

Great opportunity to lead innovative research in digital crop phenotyping. Join us to create cutting-edge solutions for cotton breeding. Exciting role to collaborate with top experts & be part of a supportive team.

Job Responsibility:

Identifying and developing methods to acquire imagery (including LiDAR and hyperspectral) using a range of sensors and platforms from cotton field trials suitable for scoring target traits
Leading the development of an imagery-based platform for cotton establishment and growth dynamics quantification
Developing and implementing practical data science methods to score target traits in cotton
Assisting in the planning and preparation of research proposals, and carrying out research investigations, requiring originality, creativity and innovation
Assisting the project leader in reporting to external client by providing well-crafted progress summaries and other relevant information as required
Undertaking experimental and/or observational research activities (including fieldwork) and supervising/training others to ensure experiments are established in accordance with research design

Requirements:

PhD and demonstrated relevant postdoctoral experience in the fields of applied computer vision, phenomics or data science
Ability to balance scientific innovation with delivery of tangible and practical AI outputs that can be adopted in a commercial breeding context
Demonstrated ability to coordinate and conduct field work using effective communication skills
Demonstrated publication history of authorship on scientific papers and ability to lead peer-reviewed publications combining innovation in 3D computer vision and domain application
Excellent ability to communicate complex artificial intelligence opportunities and novel developments with a potential to create innovation in the application domain to a range of non-specialist stakeholders, including industry experts and end users
Demonstrated ability and experience in operating UAVs to collect field data
Experience using a range of sensors (i.e. RGB, multispectral, hyperspectral, LiDAR)
Strong capabilities in using programming languages such as Python, Pytorch and other relevant AI/CV libraries, with experience developing new Deep Learning model architectures
Demonstrated flexibility in efficiently managing competing tasks and priorities, to facilitate complex experiments across multiple sites, and to cooperate with other members of the project team to ensure HSE standards are maintained, and project goals are achieved

What we offer:

up to 15.4% superannuation
Flexible work options available
Leave entitlements, benefits and career development opportunities

Additional Information:

Job Posted:

March 28, 2025

Expiration:

April 13, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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