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- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Macquarie University
- NTNU Norwegian University of Science and Technology
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- Ellison Institute of Technology
- NTNU - Norwegian University of Science and Technology
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knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position Fundamental research in the cross section between computer science
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43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position We are seeking a highly motivated
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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. Work collaboratively with multidisciplinary teams across materials, mechanical, and electrical engineering. Conduct laboratory experiments and support prototype development, contributing to system-level
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coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge
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watermarking or video processing Strong software implementation skills. Preferably 4 years+ research experience, including PhD study. We regret that only shortlisted candidates will be notified. Hiring
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students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our
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-CVD growth processes for 2D amorphous carbon films. • Address reactor-scaling challenges required to transition the current prototype toward a commercial alpha-tool platform. • Fabricate and
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep