**Job Description**
The PhD position is fully funded and focuses on developing Machine Learning (ML) methods to address challenges in scientific modeling. The research group emphasizes methods-driven ML, integrating data-driven and mechanistic approaches for dynamical systems, causality, and broader ML applications in science. The candidate will drive their own research with substantial freedom to define projects, aiming to foster an independent researcher, and will collaborate with group members and external partners.
**Skills & Abilities**
• Creative and motivated
• Passionate about developing ML methods for scientific modeling
• Curious and audacious, asking questions, and relentlessly striving for understanding
• Value the social and collaborative nature of science, proactive, eager to share ideas
• Ability to give and receive feedback
• Strong project ownership and completion skills
• Proficiency in Python implementation (PyTorch, JAX)
• Experience with HPC environments
• Strong communication skills in English (written and spoken)
• Rigorous mathematical reasoning
**Qualifications**
Required Degree(s) in:
• Relevant field (MSc degree or equivalent, or close to finishing)
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