Stellenmarkt for the Friedrich-Schiller University Jena

We invite young researchers with a masters degree in computer science, statistics, mathematics, physics or in a related field to apply for a PhD position in the newly established research training group “Interactive Inference” at Friedrich Schiller University, Jena, Germany. The research training group is funded by the Carl Zeiss Foundation under the call “Scientific Breakthroughs in Artificial intelligence”.

The group unites researchers from machine learning and artificial intelligence, algorithm and performance engineering, logic, visualization, and bioinformatics and theoretical biology with the common goal of advancing the state of the art in artificial intelligence by scalable probabilistic inference. More details about the research training group can be found here.

The research training group offers access to a wide variety of research projects at the forefront of artificial intelligence, each supported by at least two advisors from complementary fields. Bring your own project: we are also open to students presenting their own project ideas. Just make sure they fit within the general theme of interactive inference.

Jena is a beautiful city that combines diverse research institutes with a quality of life, where the next park, restaurant, or your colleagues are just a short walk away.

Applications by email are accepted until January 16’th, 2022 and thereafter until all positions have been filled.

What is Interactive Inference?

Reasoning under uncertainty for both, complex models and big data is an algorithmically challenging problem that has gained more and more traction in recent years and is currently one of the main drivers of algorithmic engineering and artificial intelligence. Within this project we want to develop scalable algorithms for probabilistic reasoning that allow to consider uncertainty in both data and models, and finally allow us to make informed decisions.

TLDR, we offer:

  • research at the forefront of artificial intelligence
  • a fully funded research position for up to 4 years
  • advisors from at least two complementary fields
  • the opportunity to graduate with a PhD in computer science
  • deadline: January 16’th 2022
  • apply by email
  • more information here.