Master Thesis Causal Foundation Models for Enterprise Intelligence
Core
Developing foundation model-based causal inference methods for root cause analysis in enterprise applications.
Role type
Master Thesis Researcher (Causal AI)
Builds
New methods for foundation model-based causal tasks
Domain
Artificial Intelligence / Causal Inference / Enterprise Intelligence
Deliverable
research
Required skills
machine learning, natural language processing, foundation models, transformer architectures, deep learning frameworks (PyTorch, TensorFlow), graph data structures, graph neural networks
Responsibilities
conduct comprehensive literature review on foundation models and causal inference, develop new methods for foundation model-based causal tasks, test methods on academic benchmarks and real-world use cases, collaborate in a global research team
Seniority
Master's level research position
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