PhD position Untangling multi-property NMR signals in drug screening with data-driven neural networks 75% part-time

Karlsruhe Institute of Technology (KIT) – The University in the Helmholtz Association

In close partnership with society, KIT develops solutions for urgent challenges – from climate change, energy transition and sustainable use of natural resources to artificial intelligence, sovereignty and an aging population. As The University in the Helmholtz Association, KIT unites scientific excellence from insight to application-driven research under one roof – and is thus in a unique position to drive this transformation. As a University of Excellence, KIT offers its more than 10,000 employees and 22,800 students outstanding opportunities to shape a sustainable and resilient future.
KIT – Science for Impact.

The Scientific Computing Center (SCC) is the Information Technology Center of KIT.

The junior research group “Robust and Efficient AI- at SCC conducts research on scalable AI methods for applications in the natural sciences. The team focuses particularly on the question of how machine learning can be made more robust and efficient to enable the use of such methods in complex and safety-critical application areas.

Since many of these applications rely on extremely large datasets, high-performance computing (HPC) plays a central role in the group's research.

Curious about an exciting and versatile role in an agile team? Discover more about SCC as your professional place to be: https://www.scc.kit.edu/en/aboutus/working-at-scc.php

PhD position Untangling multi-property NMR signals in drug screening with data-driven neural networks

75% part-time

• Scientific Computing Center (SCC)
• 2030-06-30
• asap
• Part-time
• 43,200.00 to 46,400.00 EUR gross per year