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.
