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 cooperation 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:
- Use machine learning to turn satellite data into sharper air-quality forecasts in this interdisciplinary PhD position at HDS-LEE: Machine learning based assimilation of satellite data to improve air quality predictions
- Develop learning-tailored iterative algorithms to dramatically accelerate AC power flow computations: Learning Tailored Iterative Algorithms for Accelerating AC Power Flow Computations
- Work on context-specific co-regulation networks from single-cell and spatial transcriptomics data to predict gene functions and protein–protein relationships: Co-regulation structures for large-scale single-cell transcriptomics
- Develop next-generation Bayesian methods that combine models and data to robustly infer metabolic fluxes at scale: Probabilistic Metabolic Flux Analysis
- Make an impact by connecting high-throughput cell microscopy with machine learning and physics-based simulation: Interactive Learning for Closed-Loop Control of Microfluidic Live-Cell Experiments
- Aim to create impact by linking high-throughput cell microscopy with machine-learning–based 3D image reconstruction: High-Fidelity Multi-Instance Modeling of Living Symbioses: 3D+t Reconstruction of Paramecia and Symbionts from Live-Cell Microscopy
- PhD Position - Earth System Science within the HDS-LEE graduate school
- PhD position - Bridging classical and AI-based approaches for the analysis of massively parallel neural spike trains within the HDS-LEE graduate school
- PhD position - Linking rate manifolds to higher-order spike patterns across cortical layers and brain regions within the HDS-LEE graduate school
- PhD position - Predicting the stress field in atherosclerotic plaque of arteries using scientific machine learning within the HDS-LEE graduate school
- PhD position - GPU-accelerated parallel training of physics-aware neural networks for blood flow prediction within the HDS-LEE graduate school
- PhD position - Co-regulation structures for large-scale single-cell transcriptomics - within the HDS-LEE graduate school
Stay tuned for more positions opening up soon!
EXTERNAL OPEN POSITIONS
To find more open positions related to data science, please have a look at the HIDA website
