10 image-processing-phd-position Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
Sort by
Refine Your Search
-
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
-
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
-
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
-
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
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Schemes of Service: Research Division: Food, Chemical and Biotechnology
-
experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or
-
implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems, including system design, optimisation, and
-
. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
-
specifications, performance frameworks, and implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems
-
productisation of solutions, including experimental design and prototype validation. Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy