PRAEDOC DISS for Advanced Transformer-Based Geostatistical Simulation Research (F/M/X)

European Commission; Österreich; Hybrid; EUR 40 000; Teilzeit

Zusammenfassung

The Austrian Academy of Sciences is offering a PRAEDOC DISS position focused on advanced transformer-based geostatistical simulation research. This role involves developing innovative simulation methods and collaborating with international experts in a dynamic research environment. Candidates with a Master’s degree in relevant fields and strong programming skills are encouraged to apply.

Leistungen

Engaging research environment

License to AI tools (e.g., ChatGPT)

Work-life balance with up to 40% remote work

Qualifikationen

• Master’s degree or equivalent in a related discipline.
• Strong programming skills with TensorFlow or PyTorch.
• Experience in advanced simulation or stochastic modelling is a plus.

Aufgaben

• Develop and merge innovative approaches in spatial data encoding and simulation.
• Design and test advanced transformer-based methods for complex data.
• Collaborate with international partners in a dynamic research environment.

Kenntnisse

Programming skills

Analytical skills

Problem-solving skills

Communication skills

Ausbildung

Master’s degree in computer science, machine learning, statistics, or applied mathematics

Tools

TensorFlow

PyTorch

Jobbeschreibung

Austrian Academy of Sciences, The Human Resource Department

Organisation/Company Austrian Academy of Sciences, The Human Resource Department Research Field Geosciences » Geology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Austria Application Deadline 30 Jun 2025 - 23:55 (Europe/Brussels) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Job ID: IGF052DOC225 IGF053DOC225

The Austrian Academy of Sciences (OeAW), Austria’s leading non-university research and science institution, is offering a Position as

PRAEDOC DISS for Advanced Transformer-Based Geostatistical Simulation Research (F/M/X)

This position is part of a FWF-funded project within the Digital Landscape group at the IGF, based in Innsbruck, Austria, and will involve collaboration with Grégoire Mariethoz from the University of Lausanne. The position is for a fixed term of 4 years with an expected start on 1st September 2025 (negotiable).

Your Tasks

• Develop and merge innovative approaches in spatial data encoding, continuous output representation, and multi-variable simulation with dynamic data integration (Retrieval Augmented Generation, RAG) to push the boundaries of spatial stochastic simulation research.
• Design, prototype, and test advanced transformer-based methods tailored to complex spatial and multi-variable data.
• Create robust training protocols to manage non-stationary data and develop strategies for continuous output (e.g., raw value predictions, Fourier decomposition).
• Implement tokenization and cross-attention techniques to efficiently handle multi-variable simulations.
• Collaborate with international partners and contribute to an environment that values scientific freedom, interdisciplinary work, and curiosity-driven exploration.

Your Profile

We recognize that maybe no single candidate will cover all qualifications; if you are passionate about the topic, please explain how your background can contribute.

• A Master’s degree (or equivalent) in computer science, machine learning, statistics, applied mathematics, or a closely related discipline. We are also open to atypical profiles if you can demonstrate in your cover letter how your background is relevant to the project.
• Strong programming skills with proficiency in TensorFlow or PyTorch.
• Ability to demonstrate competence through your Master’s thesis, academic record, and coding examples (e.g., GitHub link).
• Excellent analytical, problem-solving, and communication skills.
• Open-mindedness, genuine curiosity, out-of-the-box and critical thinking, ability to embrace interdisciplinary and non-conventional approaches.
• Prior experience in advanced simulation or stochastic modelling is a plus.

Our Offer

• Engaging Research Environment: Work in a dynamic, interdisciplinary setting that encourages scientific freedom and curiosity-driven research, collaborating with international experts.
• License to AI tools (e.g., ChatGPT)
• Work-Life Balance: Up to 40% remote work available.
• Location: Be part of the Digital Landscape group at IGF in Innsbruck, Austria—a city renowned for its exceptional mountain landscape and vibrant academic community.
• The position offers an annual gross salary of € 39.208,82 (based on the salary scheme of the ÖAW)

Please apply online including a letter of motivation, your CV, your Master’s grade sheet and thesis summary and a code example (e.g., a GitHub link) no later than 30 June 2025.

The Austrian Academy of Sciences (OeAW) pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity. Individuals from underrepresented groups are particularly encouraged to apply.

Number of offers available 1 Company/Institute The Institute of Interdisciplinary Mountain Research (IGF) Country Austria Geofield