Would you like to become part of HDS-LEE and apply your data science knowledge on the latest issues impacting our society?
Open positions at HDS-LEE
All doctoral researchers will be employed by Forschungszentrum Jülich in close colaboration with one of our partner institutions: RWTH Aachen University, DLR, or the University of Cologne. Here you can find the open positions for our next cohort:
- Molecular simulation and machine-learning for predictive chromatography modeling with CADET - within the HDS-LEE graduate school
- Learning Tailored Iterative Algorithms for Accelerating AC Power Flow Computations
- Co-regulation structures for large-scale single-cell transcriptomics
- Probabilistic Metabolic Flux Analysis
- Interactive Learning for Closed-Loop Control of Microfluidic Live-Cell Experiments
- High-Fidelity Multi-Instance Modeling of Living Symbioses: 3D+t Reconstruction of Paramecia and Symbionts from Live-Cell Microscopy
- Earth System Science within the HDS-LEE graduate school
- Bridging classical and AI-based approaches for the analysis of massively parallel neural spike trains within the HDS-LEE graduate school
- Linking rate manifolds to higher-order spike patterns across cortical layers and brain regions within the HDS-LEE graduate school
- Predicting the stress field in atherosclerotic plaque of arteries using scientific machine learning within the HDS-LEE graduate school
- GPU-accelerated parallel training of physics-aware neural networks for blood flow prediction within the HDS-LEE graduate school
- Co-regulation structures for large-scale single-cell transcriptomics - within the HDS-LEE graduate school
Learn more about HDS-LEE
Still not sure whether HDS-LEE is the right path for your PhD? Meet Natalie. She is working on optimizing blood flow models using scientific machine learning. In this video, she shares what she enjoys about her PhD at HDS-LEE.
External open positions
To find more open positions related to data science, please have a look at the HIDA website
