Research Fellow, NExT++ Research Centre

National University of Singapore; Singapore; Vor Ort; SGD 90.000 - 130.000; Vollzeit

Zusammenfassung

The National University of Singapore invites applications for the position of Research Fellow in the NExT++ Research Centre, School of Computing (SoC).

SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society.

Qualifikationen

• A PhD degree in Computer Science/Computer Engineering.
• Strong background in Mathematics, Algorithms and Social Media Analytics.
• Excellent knowledge in deep learning frameworks, e.g., PyTorch, TensorFlow, Nengo.
• Good written and verbal communication skills in English.
• Familiarity with non-fully supervised learning.
• Results oriented.
• Publications in CVPR/ICCV/ECCV or NeurIPS/ICML/ICLR are a plus.

Kenntnisse

PhD in CS/CE

Math & Algorithms

Social Media Analytics

Deep learning (PyTorch)

English communication

Non-fully supervised learning

Publications in CV/Machine Learning

Ausbildung

PhD in Computer Science/Computer Engineering

Tools

PyTorch

TensorFlow

Nengo

Jobbeschreibung

The National University of Singapore invites applications for the position of Research Fellow in the NExT++ Research Centre, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

With a strong research interest in the Social Media Analytics, the Research Fellow will work closely with the Lead PI in carrying out in-depth research to deal with huge volume of real-time rich multi-model data, scalable big data analytics and re-examine the role of man-machine symbiosis at all levels of framework.

Job Requirements

• A PhD degree in Computer Science/Computer Engineering
• Possess strong background in Mathematics, Algorithms and Social Media Analytics
• Excellent knowledge in deep learning frameworks, e.g., PyTorch, Tensorflow, Nengo
• Good written and verbal communication skills in English
• Familiarity with non-fully supervised learning
• Result motivated
• Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science