Doktorand*in in der Arbeitsgruppe Massive Data Processing der Fakultät 4
Core
Conduct independent research in Scalable Machine Learning, Foundation Models, and Self-Supervised Learning to achieve a PhD.
Role type
PhD researcher (Postdoc)
Builds
Novel ML methods and scalable, sustainable machine learning models
Domain
Academic research in Computer Science and Artificial Intelligence
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Python, PyTorch, Self-Supervised Learning, Contrastive Learning, Continual Learning, Representation Learning
Preferred skills
Foundation Models, Learning under Label Scarcity, Scalable and Sustainable AI
Responsibilities
Develop new methods for Foundation Models and scalable ML, plan and execute national/international research projects, publish scientific papers, supervise student exercises and theses
Seniority
PhD candidate (Junior Researcher)
