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  • PhD Student Position - Spatial AI/ML & Stochastic Simulation in Innsbruck (F/M/X)
    Institute For Interdisciplinary Mountain Research
    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.








    Your Tasks







    • 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.








    Your Profile






    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.








    Our Offer







    •  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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