Data Scientist (f/m/d) for Physics-informed AI Surrogate Modeling for…

  • Contract
  • Germany
  • Posted 2 months ago

Karlsruhe Institute of Technology (KIT)

Area of research:

Scientific / postdoctoral posts

Part-Time Suitability:

The position is suitable for part-time employment.

Starting date:


Job description:

The Steinbuch Centre for Computing (SCC) is a central scientific institution of KIT in connection with tasks in research, teaching, and innovation and performs overarching services within KIT and for external parties.

Many areas in science and engineering rely on simulations to model and study behavior of and interplay within physical systems, for example weather and climate simulations, biophysical modeling or nuclear reactor control. In certain cases, the high complexity of the system leads to an immense amount of required compute resources, which prohibits real-time applications of these simulation codes.

The rise of AI methods has led to an attractive alternative or supplement, with less compute-intensive data-driven models as surrogates for the time-consuming exact calculation / solution of state equations. There exist many approaches for surrogate models, from classical machine learning and statistical models (e.g. Gaussian Processes and Bayesian Variational Inference) to more elaborate deep learning approaches like physics-informed neural networks (PINNs).

The overarching goal of your work is to develop surrogate models for real-world use-cases within the EU-project ASSAS. This includes data-exploration with already existing datasets, developing recommendations for further data collection, as well as curating and structuring the data on which the developed models will be evaluated. You will further work on acceleration strategies of the surrogate and reference models through means of parallelization and high-performance computing. The models will then be deployed to novel hardware components, such as highly parallel GPU clusters and GraphCore IPU Pods.

This position offers the possibility to acquire a PhD degree.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany’s largest scientific organisation.

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