Haizea Analytics is hiring an AI Research Lead for Gaia Research, our AI research lab in Canberra, Australia.
- Role: full-time, based in Canberra (on-site preferred; remote work may be agreed under specific conditions)
- Applications close: 15 December 2026
- Apply: CV and short cover letter by email (address under Applying, below)
- International applicants are welcome; visa sponsorship can be considered
The lab
Satellites have been observing the Earth for decades, building a detailed record of how our planet is changing. Making sense of this enormous volume of data remains a major scientific and computational challenge.
Gaia Research develops new methods for learning from satellite and climate data, including generative models, learned compression, foundation models, multi-sensor fusion, and neural emulators of physical processes. Successful research is put to work through Haizea’s Earth data platform.
We’re looking for an experienced AI researcher to lead the lab, develop its research programme, and grow the team. You’ll work directly on models and experiments, with a dedicated GPU cluster, petabyte-scale satellite and climate archives, and Haizea’s engineering team. You’ll report directly to Haizea’s management team.
Questions we’re exploring
- Generative models: Can we learn compact representations of decades of satellite observations and reconstruct missing information across space and time?
- Foundation models: Can we build representations of the Earth’s surface that can be adapted to new tasks with very little labelled data?
- Physical model emulation: Can neural networks reproduce complex scientific models and make their predictions faster or available at finer resolutions?
- Multi-sensor fusion: Can we combine observations from different satellites and sensors into a consistent representation of the Earth’s surface?
- Trustworthy scientific AI: How can we evaluate the physical consistency, accuracy, and uncertainty of AI-generated predictions?
What you’ll do
- Lead the research: Set the lab’s research direction, identify important problems, design experiments, and decide where to focus the team’s time and computing resources.
- Develop models and lead the team: Design, train, and evaluate deep learning models using large Earth observation datasets. Mentor researchers, recruit new colleagues, and establish good practices for reproducible research.
- Publish and apply the research: Publish papers, present results, and collaborate with universities and research organisations.
Who we’re looking for
- A PhD or equivalent research experience in AI, machine learning, or a related quantitative field.
- A record of original research, demonstrated through publications, released models or datasets, open-source work, or deployed systems.
- Strong experience in one or more of generative models, representation learning, learned compression, or spatio-temporal modelling.
- Practical experience with Python, PyTorch, GPU training, and large datasets.
- Experience mentoring researchers or leading technical work.
- A rigorous approach to experimental design, evaluation, and reproducibility.
Useful, but not essential: experience with remote sensing, Earth science, numerical modelling, weather or climate, or geospatial foundation models.
Applying
Send your CV and a short cover letter to contact@haizea.com.au by 15 December 2026. Tell us about one piece of research you are proud of and what you would like to explore at Gaia Research. Links to papers, code, or models are welcome. Salary will reflect experience.
More about us: https://haizea.com.au