Doktorand*in in der Arbeitsgruppe Massive Data Processing der Fakultät 4
Core
Conduct independent research in scalable machine learning for data- and process-oriented applications with the goal of obtaining a PhD.
Role type
PhD researcher (Postdoc) in Scalable Machine Learning
Builds
Novel methods for scalable, sustainable, and continuously learning machine learning systems
Domain
Computer Science / Machine Learning / Data Science
Deliverable
production ML models
Required skills
Machine Learning, Scalable Systems, Python, Analytical Thinking, Independent Work, Teaching Experience
Preferred skills
Foundation Models, Self-Supervised Learning, Contrastive Learning, Continual Learning
Technologies
Python
Responsibilities
Develop new methods for scalable and sustainable machine learning systems; Participate in planning and execution of national and international research projects; Create scientific publications and present research at international conferences; Assist in securing and executing third-party funded projects; Supervise exercises, internships, and student projects; Assist in conducting examinations; Assist in supervising Bachelor and Master theses in Scalable Machine Learning for Data and Processes
