Image and Data Researcher (Level A/B)

Grant Funded Researcher A/B- Image and Data Researcher 

(Level A) $98,574- $105,611 per annum plus an employer contribution of 17% superannuation.

(Level B) $111,031-$131,335 per annum plus an employer contribution of 17% superannuation.

24 Months Fixed-term contract| Full time

The Australian Plant Phenomics Network (APPN) was established in 2009 under the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) to develop a globally collaborative plant phenomics capability that provides leadership in infrastructure, skills and service for agricultural research and industry to maximise the productivity in Australia’s unique and variable environment.

The University of Adelaide node of the APPN, The Plant Accelerator® is actively seeking a driven and enthusiastic individual to join our dynamic team and contribute their unique skills. As part of this role, the successful candidate will collaborate with our experienced team members in analysing data collected with cutting-edge field phenotyping tools (aerial and ground-based platforms). The successful candidate will contribute their unique skills in analysing complex data from RGB, hyperspectral or LiDAR sensors to extract information about plant structure, biochemical and physiological properties. By harnessing the latest data analytical approaches, the appointed individual will play a pivotal role in advancing our ability to measure novel traits in the field, supporting agricultural research and innovation.

 

Key Responsibilities:

• Conduct research in remote sensing, plant phenotyping, and computer vision, with a strong emphasis on multi-modal image processing.
• Develop and implement machine learning algorithms for complex data analysis.
• Utilise advanced programming skills (Python, MATLAB, C) and image processing libraries to develop computational solutions.
• Publish research findings in high-quality, peer-reviewed international journals.
• Engage with stakeholders, present research outcomes, and contribute to collaborative projects.
• Supervise and mentor HDR (Higher Degree by Research) students.
• Work both independently and as part of an interdisciplinary research team.

 

If you are a dynamic and forward-thinking individual eager to make a meaningful impact, we welcome you to apply.

 

Selection Criteria

Level A

1. A PhD in Remote Sensing, Plant phenotyping, Computer Vision, Machine Learning, or a related field.

2. Strong experience in image processing and computer vision, particularly for multi-modal and high-dimensional data.

3. Experience in programming languages relevant to technical applications (e.g., Python, MATLAB, C) and expertise in image processing libraries.

4. Demonstrated ability to publish research in internationally recognized journals.

5. High quality  interpersonal, oral, and written communication skills for engaging with stakeholders and presenting research.

6. Demonstrated ability to work both independently and collaboratively in an interdisciplinary team.

7. Willingness to supervise and mentor HDR students.

 

Desired Characteristics

1. Familiarity with state-of-the-art optical sensors (e.g., hyperspectral, LiDAR, 3D cameras) for terrestrial and airborne plant monitoring.

2. Understanding of radiative transfer models, atmospheric correction, and sensor calibration.

3. Interest in leveraging AI/ML methodologies for data-driven solutions.

4. Enthusiasm for statistical modelling, including unsupervised, supervised, and semi-supervised learning.

 

Level B

1. A PhD in Remote Sensing, Plant phenotyping, Computer Vision, Machine Learning, or a related field.

2. Strong experience in image processing and computer vision, particularly for multi-modal and high-dimensional data.

3. Proficiency in programming languages relevant to technical applications (e.g., Python, MATLAB, C) and expertise in image processing libraries.

4. A strong track record of publishing research in internationally recognized journals.

5. Excellent interpersonal, oral, and written communication skills for engaging with stakeholders and presenting research.

6. Demonstrated experience in working both independently and collaboratively in an interdisciplinary team.

7. Experience in supervising and mentoring HDR students.

 

Desired Characteristics

1. Familiarity with state-of-the-art optical sensors (e.g., hyperspectral, LiDAR, 3D cameras) for terrestrial and airborne plant monitoring.

2. Understanding of radiative transfer models, atmospheric correction, and sensor calibration.

3. Interest in leveraging AI/ML methodologies for data-driven solutions.

4. Enthusiasm for statistical modeling, including unsupervised, supervised, and semi-supervised learning.

 

The path to Adelaide University

We are on an exciting path to Adelaide University as we prepare to open our doors in January 2026. Adelaide University will combine the strengths of the University of Adelaide and the University of South Australia, and we are dedicated to creating an accessible and future-focused educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process.

 

Enjoy an outstanding career environment

We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaboration - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

 

Your faculty's broader role

The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. The Faculty actively partners with innovative industries to solve problems of global significance. 

Learn more at: set.adelaide.edu.au

 

How to Apply

Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

***Applications close Monday 12th May 2025, 11.55pm***

 

For further information

For a confidential discussion regarding this position, contact:

A/P Bettina Berger
School, Agriculture, Food & Wine
E: bettina.berger@adelaide.edu.au

You'll find a full role statement and selection criteria below: (If no links appear, try viewing on another device)

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.