We are seeking a research associate to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning algorithms for multi-modality learning and 3D vision. Candidates are expected to have a strong background in relevant areas.

Key Responsibilities:

• To independently undertake research in machine learning and computer systems.
• To produce research papers and reports as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Master's degree or Bachelor's degree of at least 2 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in deep learning and distributed systems. Prior experience in comuter system and resource management, container techniques and deep learning environment development is preferable.
• Strong publication records in top-tier artificial intelligence or computer systems conferences/journals, such as NeurIPS, ICML, ICDCS, SoCC, OSDI and SOSP.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Kubernetes, etc.
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.
• Ability and willingness to work some flexible hours.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU