Location: Tübingen, Germany Remote: Yes Willing to relocate: Yes (Europe/UK; open to exceptional opportunities elsewhere) Technologies: Python, PyTorch, NumP

Location: Tübingen, Germany Remote: Yes Willing to relocate: Yes (Europe/UK; open to exceptional opportunities elsewhere) Technologies: Python, PyTorch, NumPy, transformers, multimodal ML, LLMs/VLMs, adversarial robustness, AI security, red-teaming, research Résumé/CV: https://chs20.github.io https://chs20.github.io Email: schlarmann.christian@gmail.com PhD researcher in ML at the University of Tübingen seeking Research Scientist / Research Engineer roles. I work on robust and secure machine learning, with a focus on multimodal models, adversarial attacks and defenses, and AI safety. Publications include ICML and NeurIPS; I also have hands-on experience red-teaming frontier AI systems. Open to AI security, multimodal/generative ML, and strong research-oriented ML roles more broadly.