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• High-throughput DFT calculations for database generation
• Code development for GRACE machine learning interatomic potentials in Python (JAX, TF) and possibly C++
• Training of GRACE models on HPC hardware
• Finetuning and application of GRACE models for solvation science

• Development of software for processing of (ultra-)low frequency radio interferometric data
• Analysis of radio continuum observations in the low-frequency regime
• Developing new proposals for competitively-allocated scientific and/or technical resources

The main task in this position is to research, analyze, and improve the security and privacy of modern decentralized platforms while enhancing their performance and scalability....

Independent research in accordance with good scientific practice: conception and implementation of scientific methods, experiment design, data collection and processing, and authoring publications in peer-reviewed journals...

As a PhD candidate with us, you will dive deep into the world of agentic AI systems and contribute significantly to the development of intelligent solutions for real-world challenges, combining cutting-edge research with direct industrial impact....

In this role, you will combine cutting‑edge fundamental research with direct industrial application and actively shape the next generation of intelligent inspection solutions....

• Support our Web Component Development team in building, testing, and maintaining reusable frontend components for digital products and platforms
• Contribute to the implementation of modern, scalable, and user-centered frontend solutions using web technologies

• Development, training, and evaluation of machine-learning interatomic potentials.
• Distillation of machine-learning interatomic potentials into computationally efficient models suitable for large-scale production simulations.

• Develop cutting-edge digital twin models for category learning from neural and behavioral data from humans and non-human primates, using RNNs
• Analyze model outputs to test theoretical frameworks about visual category learning
• Development of a toolbox for digital twin modelling

• Take technical ownership for the Systems Engineering of a novel X-ray-based 3D inspection and metrology system for semiconductor wafers
• Lead system design, requirements definition, and architecture across mechanics, optics/X-ray, electronics, software, controls, sensors, and infrastructure

• You have delivered your first end-to-end feature across the entire stack.
• You have identified an area where AI can optimize internal workflows or the customer product.
• You have brought a major product initiative from the initial sketch to production.

• Design, build, and maintain build a secure and performant unified Edge platform for all partner-facing and customer-facing traffic.
• Bring a strong engineering perspective to the team, helping to instill software design best practices, scalable system architecture, and high-quality code standards.

Execute and maintain manual and automated test cases based on specifications, including creating test data, updating test steps, and documenting results....

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

• Help build the foundation for next-generation products
• Learn and apply cutting-edge simulation methods
• Receive mentorship from experienced PhD-level experts
• Explore the opportunity to write your master's thesis after your internship or working student role

• robustness to distribution shifts, domain adaptation, and domain generalization
• out-of-distribution detection and modeling
• uncertainty estimation
• innovative data curation approaches
• learning under label noise and weak supervision
• synthetic data generation
• fairness research

• Own the end-to-end development of the MOBROG mobile app, from front-end implementation to backend architecture
• Build and maintain cross-platform mobile applications using Flutter

• Contribution to the development and implementation of machine learning and artificial intelligence methods in clinical diagnostics and biomedical research
• Application of classical statistical methods for the processing and analysis of raw data from various omics datasets

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

• You will actively work on sparsifying, pruning and quantizing CNN and transformer-based architectures for autonomous driving
• Design, implement, and evaluate models and training algorithms for runtime optimized 3D semantic occupancy predictions