41 machine-learning-phd research jobs at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
traveltime tomography + full waveform inversion) technologies to image the detailed near-surface subsurface structures from tens of meters to a few kilometers. In addition, machine learning techniques will be
-
satisfactory performance. Successful candidates will be involved in a project that is related to generative design. Key Responsibilities: To independently undertake research in computer vision and deep learning
-
health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related field Expert knowledge in Li-ion batteries and machine learning techniques, as well
-
The Air Traffic Management Research Institute (ATMRI) is seeking to hire a Senior Research Fellow / Research Fellow to develop artificial intelligence methods and machine learned models to improve
-
, nanomaterial synthesis and assembly, machine learning predictive modelling We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
-
powered by AI, Machine Learning and data analytics for applications. Key Responsibilities: Conduct research and development related to AI and Computer Science Collect relevant dataset, and conduct
-
Sciences, Nanyang Technological University. Key Responsibilities: Carry out investigations in critical fields of quantum machine learning, quantum information and quantum computation. Discuss work with
-
evaluating advanced machine learning algorithms Relevant knowledge and a strong background machine learning and deep learning. Experience in text processing and speech technologies, especially in depression
-
well as computer vision Lead a team of junior researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks Discussion and study recent papers and baseline codes in
-
motives in political communications. Key Responsibilities: Content coding of implicit motives from text data Establishment and refinement of a training database for our machine learning/NLP classifier