Several Interdisciplinary PhD Positions (f/m/d)

Several Interdisciplinary PhD Positions (f/m/d) at Heidelberg University

The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) at Heidelberg University is the leading graduate school in Germany that focuses on the complex topic of Scientific Computing. Located in a vibrant research environment, the school offers a uniquely structured interdisciplinary education for PhD students. HGS MathComp has 18 open PhD positions in the general research areas of Mathematics, Computer Science, Physics, Biology, Chemistry, and Life Sciences.

Scope and duration of the PhD positions:

• Three-year contract with the possibility of extension; salary according to TV-L E13 level; contract details depend on research project
• Faculty/department affiliation according to research group
• Start: October 1, 2023, unless otherwise stated
• Required documents: CV, letter of motivation, most recent or final transcript of records, names and contact information of three references.

Deadline for applications: July 15, 2023 See full information and application link.

Possible PhD project topics are (but not limited to):

• Immersed interface methods for the simulation of cell movement
• Multiscale Methods and Localised Model Reduction for Convection-Dominated Problems and Applications in Climate Modelling
• Modeling and simulation of thermochemical energy conversion processes for the flexible use of hydrogen-based renewable fuels
• Transformer-based cell tracking in virology
• Geometric machine learning in quantum chemistry: learning kinetic energy density functionals
• Modelling cytoadhesion of malaria-infected red blood cells
• Traction force microscopy for biological cells in three dimensions
• Domain Uncertainty Quantification
• Machine Learning for Programming
• Model based AI: Physics Informed Neural Networks (fundamental research)
• Machine Learning and Model-based controller (applied research)
• Biomedical Modeling with PDEs and Machine Learning (applied research)
• Magnetic Resonance Imaging: AI based patient-specific MRI acquisition optimization
• Magnetic Resonance Imaging: Sequence development for a local breast gradient coil
• New numerical schemes and parallel algorithms in scientific computing

There will be interviews between the group leaders and potential candidates to discuss the specifics of the respective positions.

Heidelberg University stands for equal opportunities and diversity. Qualified female candidates are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job-market.