• Lead the development, implementation, and optimisation of advanced digital phenotyping platforms, including multimodal sensing, spectral data workflows, and FAIR-complaint data pipelines.
• Work within a collaborative, cutting-edge research environment at UWA.
• Full-time (1.0 FTE) appointment on a fixed term basis for 2 years.
• Base salary range: $116,262 – $127,078 p.a. plus 17% superannuation.

About the opportunity

• Apply cutting‑edge data science, computer vision, deep learning, and generative AI to agricultural and phenomics research across UWA, DPIRD, and national APPN partners.
• Coordinate end‑to‑end field data operations and provide technical leadership, training, and community‑of‑practice engagement across APPN nodes and end‑users.
• This role is offered within the UWA Professional staff stream, at an equivalent pay rate and level to Academic Stream Level B (Lecturer/Research Fellow). This is to encourage both postdoctoral-level researchers with a PhD, or industry-experienced and tertiary-qualified data science professionals to apply for this role.

About you

• You have strong experience in Python and/or R, Unix/Linux, version control, and engineering scalable, production‑ready data pipelines.
• You bring expertise in remote sensing and multimodal data processing (RGB, multispectral, hyperspectral, LiDAR) from drone/robotic/satellite platforms.
• You have demonstrated capability in deep learning, computer vision, and emerging generative AI approaches in agricultural or phenomics applications.
• You understand FAIR data principles and have experience designing workflows, metadata, and data governance practices that ensure reproducibility and high‑quality research outputs.
• You are an excellent communicator with a track record in stakeholder engagement, training delivery, technical documentation, and collaborative problem‑solving across diverse research and industry settings.

Special Requirements

• Employment checks will include information on gender-based violence, sexual harassment, and related misconduct to meet legal obligations.
• Some after-hours work may be required.
• Current “C” class driver’s licence desirable.
• Certified 4WD training and First Aid Certificate are highly desirable, or a willingness to undertake training.
• Current CASA Remote Pilot License (RePL) for <25kg Multirotor and Aviation Radio Operators Certificate (AROC) are desirable, or a willingness to undertake training.

Position description:  POSITION DESCRIPTION - Senior Data Scientist (522682).docx

To learn more about this opportunity, please contact Professor Nik Callow at nik.callow@uwa.edu.au

How to apply

Please apply online via the Apply Now button. The content of your Resume and Cover Letter should demonstrate how you meet the selection criteria.

Closing date: 11:55 PM AWST on Sunday 1^st March 2026.

This position is only open to applicants with relevant rights to work in Australia.

Please note: Unsolicited applications from recruitment agencies will not be accepted outside of formal channels.

 About the University

The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, there is no better time to join Western Australia’s top university.

Learn more about us.

Our commitment to inclusion and diversity

UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all, including Aboriginal and Torres Strait Islander people, women, those from culturally and linguistically diverse backgrounds, the LGBTIQA+ community, and people living with disability.

If you require any reasonable adjustments, we encourage you to advise us at the time of application. Alternatively, you can contact us for assistance during the recruitment process.

If you have queries relating to your application, please contact the individual named in the advertisement. Alternatively, please contact the Talent team at people@uwa.edu.au with details of your query. To enable a quick response, please include the 6-digit job reference number.