PRAEDOC DISS for Advanced Transformer-Based Geostatistical Simulation Resea at sterreichische Akademie der Wissenschaften
Innsbruck, T, Austria -
Full Time


Start Date

Immediate

Expiry Date

02 Aug, 25

Salary

39.20882

Posted On

03 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Mathematics, Statistics, Computer Science, Machine Learning, Communication Skills

Industry

Information Technology/IT

Description

OEAW - DISCOVERING THE FUTURE

As a central non-university institution for science and research, the Austrian Academy of Sciences - OeAW has the task of “promoting science in every respect”. Founded in 1847 as a learned society, it now has over 760 members and around 1,800 employees dedicated to innovative basic research, interdisciplinary knowledge exchange and the dissemination of new insights. The OeAW initiates and maintains partnerships worldwide and represents Austria in international scientific organizations; it cooperates with numerous institutions in the scientific field in order to actively shape the research landscape.

Responsibilities
  • 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.
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