Summary
Linköping University is offering a PhD position in machine learning. The project focuses on generative modeling and data-centric strategies to make deep learning more resource-efficient while addressing critical issues like dataset bias and privacy in sensitive applications.
PhD student in generative modeling for data-efficient machine learning, Linköping University, Sweden
Quick Facts
| Feature | Details |
| Institution | Linköping University |
| Position | PhD Student |
| Field | Machine Learning & Deep Learning |
| Principal Supervisor | Gabriel Eilertsen (Campus Norrköping) |
| Co-Supervisor | Sebastian Mair (Campus Valla) |
Subject Area
Machine Learning, Generative Modeling, Data-Efficient AI, Fairness, and Data Privacy.
Location
Linköping University, Sweden. The work is a collaboration between the Division for Media and Information Technology (Campus Norrköping) and the Division of Statistics and Machine Learning (Campus Valla in Linköping).
Eligibility
While the specific degree prerequisites are not listed on this page, the ideal candidate should be prepared to undertake both theoretical work and practical implementation. You should be capable of running experiments with machine learning algorithms on various data types, ranging from low-dimensional point sets to high-dimensional image data (such as medical imaging).
Scholarship Description
Training deep learning models typically requires vast amounts of data and energy. This PhD project aims to develop methods to drastically reduce dataset sizes without sacrificing model performance. The overarching goal is to foster resource-efficient and trustworthy machine learning.
During the program, you will explore generative modeling techniques to create synthetic, highly representative datapoints. A major focus of the research will involve navigating dataset bias and ensuring that sensitive information (e.g., from medical diagnoses) is not leaked from real datasets into the synthetic ones.
How to Apply
To submit an application and read further details, visit the official Linköping University application page via the WASP portal.
Last Date
August 21, 2026
