Sort by
Refine Your Search
-
. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning and computer vision algorithms. Candidates are expected
-
research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and
-
, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
-
Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system
-
. Job Requirements: PhD degree in Computer Science, Computer & Electronics Engineering or other related fields. Strong background and knowledge in at least one or preferably more of the following fields
-
research in artificial intelligence, machine learning system, edge computing. To produce research papers and reports as required by the funding body or for dissemination to the wider academic community
-
research in artificial intelligence, machine learning system, edge computing. To produce research papers and reports as required by the funding body or for dissemination to the wider academic community
-
market trends, incorporating factors such as weather patterns, consumption behavior, and regulatory changes. By leveraging advanced statistical and machine learning techniques, the role aims to provide
-
on learning efficiency and credit attribution effectiveness. Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
-
for further development. Mentor students Job Requirements: Master’s degree in civil engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written