PhD student in Machine Learning within WASP - Linköping University

Your work assignments

The research area of this WASP-financed 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.

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more on WASP at wasp-sweden.org.

The graduate school within WASP is dedicated to providing the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between Doctoral students, researchers and industry. Read more on WASP graduate school at wasp-sweden.org/graduate-school.

As a PhD student, you devote most of your time to doctoral studies and the research project of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

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