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Doctoral Programme Proficiency in both written and spoken English language skills Organized research training (PhD program): The selected candidate will be required to enrol in the NTNU’s approved PhD
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Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
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play a key role in delivering and developing high-quality teaching, with a particular focus on the MSc Innovation in Intelligence, Surveillance and Reconnaissance programme. You will act as Programme
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work under the supervision and mentorship of Piotr Slomka, PhD, Director, Innovation in Imaging, Professor in Division of Artificial Intelligence in Medicine and Principal Investigator, as part of a
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work under the supervision and mentorship of Piotr Slomka, PhD, Director, Innovation in Imaging, Professor in Division of Artificial Intelligence in Medicine and Principal Investigator, as part of a
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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PhD Working Language German English Required Degree Master Areas of study Chemistry, Theoretical Chemistry, Nanomaterials, Physics, Theoretical Physics, Artificial Intelligence, Computer
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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industrial partners working at the intersection of AI and digital education. Mandatory requirements Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational
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and Society, and the Vector Institute for Artificial Intelligence. Eligibility: Qualified candidates with a PhD in mathematics, statistics, physics, computer science or neuroscience are encouraged