Barbara Hammer
5 months ago
AI systems University of Bielefeld in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
The position is funded by the DFG (German Research Foundation) within the SFB TRR 318 project. Funding details such as stipend amount or tuition coverage are not specified in the post but it is a fully funded research position.
Deadline
Expired
Country
Germany
University
Bielefeld University
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About this position
A PhD position is available at the University of Bielefeld in the context of the SFB TRR 318 project 'Constructing Explainability', funded by the DFG. The research focuses on explanations of joint effects of components within AI systems, addressing current practices such as transfer learning, finetuning, and retrieval-augmented generation (RAG). The position is supervised by Professor Barbara Hammer and is part of a collaborative research environment.
Applicants should have a strong background in computer science, mathematics, or related fields, with experience in machine learning and artificial intelligence. The position is fully funded, though specific financial details are not provided in the announcement. Interested candidates should consult the official job posting for further details and application procedures.
Funding details
The position is funded by the DFG (German Research Foundation) within the SFB TRR 318 project. Funding details such as stipend amount or tuition coverage are not specified in the post but it is a fully funded research position.
What's required
Applicants should hold a Master's degree (or equivalent) in computer science, mathematics, or a related field. Strong background in machine learning, artificial intelligence, or related areas is preferred. Experience with transfer learning, finetuning, or retrieval-augmented generation (RAG) is advantageous. Good command of English is required. Additional requirements may be specified on the official job page.
How to apply
Visit the official job posting at https://uni-bielefeld.hr4you.org/job/view/4452/research-position-in-the-sfb-trr-318-in-the-field-of-machine-learning?page_lang=en for more information and application instructions. Prepare your application materials as specified on the university website.
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