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We are currently offering two doctoral student positions focused on developing novel AI-driven methods for polymer design and engineering, with an emphasis on the discovery and design of polymeric
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, especially deep learning in the area of Pattern Recognition (e.g., computer vision, physiological signals, brain imaging data, supervised and unsupervised learning). Help as an assistant in teaching, help in
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cyber-physical systems (CPS). ESLAB’s work spans advanced system design, dependable computing, and emerging applications in autonomous and safety-critical domains. As an associate professor in Cyber
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, and risk-aware goals. MDPs will be utilized to help agents make independent decisions while still respecting joint goals related to safety and trustworthiness. Design perspectives will draw inspiration
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for disease localization without requiring pixel-level annotations. The work spans several core areas: machine learning, computer vision, deep learning, and medical imaging. The successful candidate will design
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knowledge and their vision of technical solutions for the future industry in a sustainable society. Through excellent research, innovation, and education, we contribute to the development of future industrial
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Looking for your next challenge? Become a part of a team that’s driving change and innovation every day. We are looking for two highly motivated Doctoral students to join our team at the Department
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5 Dec 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Electrical engineering Researcher Profile First Stage
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. The applicant will work with soft robotics and haptic technologies to design, develop and study fully-fledged applications in the real world. The student work will combine careful attention to the sensation and
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8 Nov 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Architecture » Design Architecture » Other Engineering » Electrical engineering Researcher Profile