Masterarbeit: Kausale Foundation-Modelle für Enterprise Intelligence (w/m/div.)
Core
Developing foundation-model-based causal inference methods for enterprise applications, specifically focusing on root-cause analysis.
Role type
Master's thesis researcher (causal AI)
Builds
Scientific benchmarks and practical application cases for Bosch
Domain
Artificial Intelligence / Causal Inference / Enterprise Intelligence
Deliverable
production ML models
Required skills
Machine Learning, Natural Language Processing, Foundation Models, Transformer Architectures, Deep-Learning Frameworks, Graph Neural Networks
Preferred skills
Graph Data Structures
Technologies
PyTorch, TensorFlow
Responsibilities
Conduct comprehensive literature research on Foundation Models and causal inference; Develop new methods for foundation-model-based causal tasks; Test methods using scientific benchmarks and Bosch application cases; Collaborate in a global research team.
Seniority
Master's student level
