Linköping University seeks a PhD student in Machine Learning within WASP, with a focus on iterative retraining of generative models.
Project description
The research area of this project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data. The task is to understand phenomena like “model collapse” and implementing strategies to avert it, using tools from the Systems and Control field.
Supervisor: Prof. Claudio Altafini, Division of Automatic Control, Dept of Electrical Engineering, Linkoping.
The Division of Automatic Control is successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, machine learning, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world.
Read more about the division here: https://liu.se/en/organisation/liu/isy/rt.
For more information about ISY, go to: https://liu.se/en/article/open-positions-at-isy.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
