Job ID:
261597
PhD Student Position - Spatial AI/ML & Stochastic Simulation in Innsbruck (F/M/X)
Austrian Academy of Sciences
Project Overview:
The GeoTransformer Project adapts the transformer neural-network architecture that powers modern language models to spatial data, letting us learn complex patterns in geology, climate and other earth-system variables. By going beyond kriging and multiple-point methods, the project will deliver faster, uncertainty-aware simulations that cope with non-stationary, multi-variable datasets—opening new possibilities for environmental science, resource management and related fields.
- Develop innovative approaches for spatial data encoding, continuous output representation, multi-variable simulation and Retrieval-Augmented Generation.
- Design, prototype, and benchmark advanced transformer architectures tailored to complex spatial and multi-variable data.
- Create training protocols for non-stationary data and strategies for continuous outputs (e.g., raw values, Fourier components, Gaussian Mixture Model).
- Actively collaborate with international partners in an open, curiosity-driven research environment.
We know no single candidate will tick every box; if the topic excites you, convince us how your background fits.
- Master’s degree (or equivalent) in computer science, machine learning, statistics, applied mathematics, geoscience, or a closely related field.
- Strong programming skills and proficiency in TensorFlow or PyTorch.
- Excellent analytical thinking, problem-solving, and communication skills.
- Open-minded, creative, and comfortable with interdisciplinary work.
- Engaging research environment: A dynamic, interdisciplinary team that values scientific freedom and curiosity.
- State-of-the-art tools: Full licence to AI assistants (e.g., ChatGPT) and modern HPC/GPU resources.
- Work–life balance: Up to 40 % remote work, flexible scheduling, and family-friendly policies.
- Innsbruck location: Live and work in a vibrant alpine city famous for its mountain landscape and lively academic scene.
- Salary: Annual gross salary € 39 208.82 (according to the OeAW salary scheme).
Your application should include:
- Motivation letter (max. 2 pages)
- CV
- Master’s grade transcript & short thesis summary
- Code sample or GitHub link
Deadline 2nd of September 2025.
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