65 phd-machine-learning Fellowship positions at National University of Singapore

Research Fellow (CollabML)

for application of research outcomes; Contribute to knowledge exchange activities with external partners and collaborators; Requirements A PhD in Computer Science, with specialization related to machine learning

Research Fellow (Quantum algorithms)

expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply. •  PhD in electrical engineering

Research Fellow (Machine Learning)

Job Description The National University of Singapore (NUS) is offering a position for a postdoctoral fellow who will work closely with  Dr. Vincent Tan in online machine learning (reinforcement

Research Fellow (Information Theory, Statistical Signal Processing, and Machine Learning)

learning (reinforcement learning, multi-armed bandits). This position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical

Research Fellow (Photonics or Physical Optics)

complex systems is preferred. Qualifications 1. PhD in Photonics or Physical Optics 2. Hands-on expertise on complex photoelectric medium design.  Specifically, photonic structure design & fabrication

Research Fellow, School of Computing

machine learning conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, etc. The candidate will also help to co-supervise PhD students in the group. Only shortlisted applicants will be notified

Research Fellow (Network Centric Services for Industrial Metaverse)

. Qualifications Requirements •    A PhD in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in one or more  areas, 5G, Metaverse, edge computing

Research Fellow in optical atomic clocks

development. Job Requirements PhD in Physics with a strong background in atomic physics; Knowledge of computer hardware control is expected; Some knowledge of ion traps and electronics is preferred but not

Research Fellow (Network Data Driven Transportation)

transportation), Electrical Engineering, Computer Engineering, or Computer Science; •  Programming experience and knowledge of machine learning would be a plus; •  Possesses research background with ability

Research Fellow (Urban Mobility)

PhD degree (transportation engineering, operations research, computer engineering/science, or related disciplines) •    Strong interests and expertise in traffic simulation, statistical modeling