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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
, you’ll also join WASP —Sweden’s largest individual research program ever, offering unparalleled resources, networking and career opportunities. Be part of shaping the future of AI! Project overview
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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
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(PriSec) at the Department of Mathematics and Computer Science at Karlstad University. Research within PriSec is specialized in privacy-enhancing technologies (PETs) and privacy engineering, network
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: https://wasp-sweden.org/ We are taking part in this program through the following research project: How Do Neural Networks Learn Symmetries? Augmentation, Randomization and Equivariance Supervisor: Jan
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. Read more: https://wasp-sweden.org/graduate-school/ . Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240
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on advancing Net Zero industries through new knowledge and solutions in maintenance engineering, such as in the emerging and rapidly scaling battery industry. The position is uniquely open for top talent eager
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application! We are now looking for a PhD student in Automatic Control, at the Department of Electrical Engineering (ISY). Your work assignments The research area of this position is complex networks and
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. The department is BTH’s largest department at BTH with 70 people. At the department, research is conducted in two major areas: computer science and engineering and visual and interactive computer
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Familiarity with large language models or multimodal systems An interest in visual reasoning, educational technology, or human–AI interaction Experience with neural networks for image or video understanding
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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