The Department of Computer and Information Science, Linköping University, is looking for a PhD student in Computer Science, formally based at the Division of Statistics and Machine Learning.

Your work assignments

The research focus for the advertised position is directed towards integrating simulation-based models with machine learning for spatio-temporal prediction and data analysis. Our aim is to develop novel theory and methodology for enabling hybrid machine learning/simulation-based modeling at an unprecedented level of integration. The project involves both fundamental research on the development of new machine learning models and computational algorithms, as well as applied research to demonstrate the usefulness of the new methodologies.

The position is part of the project __main__: Multi-dimensional Alignment and Integration of Physical and Virtual Worlds, funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP) through the NEST initiative. As a WASP NEST PhD student, you will take part in the WASP curriculum and benefit from its extensive network of other PhD students and senior researchers.
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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.

The graduate school within WASP is dedicated to provide 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 PhD-students, researchers and industry. Read more:

More Information and Application

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