The S-Lab for Advanced Intelligence is seeking a Research Fellow to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to "Towards Robust and Efficient Temporal Sentence Grounding in Videos."

Key Responsibilities:

• To independently undertake research in computer vision, NLP, and machine learning
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any 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:

• A PhD in Computer Science/Engineering, AI or related areas.
• Strong background in machine learning and computer vision.
• Prior experience in multi-modality learning, multimedia retrieval is preferable.
• Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TPAMI, CVPR, ICCV, ECCV, NeurIPS, ICML, ACL, and ICLR.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• 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