Deskripsi Pekerjaan
Join the prestigious National University of Singapore (NUS) as a Research Fellow in the exciting field of Multimodal Interaction. We are looking for a dynamic and innovative individual to contribute to cutting-edge research that bridges the gap between artificial intelligence, human-computer interaction, and multimodal learning systems. You will have the opportunity to work in a world-class research environment, collaborating with leading experts and publishing your findings in top-tier conferences and journals.
In this role, you will be at the forefront of developing intelligent systems that can understand and process multiple modes of human communicationâsuch as text, speech, gestures, and facial expressionsâto create more natural and intuitive user experiences. If you are passionate about pushing the boundaries of AI and enjoy solving complex technical challenges, we want to hear from you.
Tanggung Jawab
- Conduct high-level research and development on multimodal interaction models and algorithms.
- Design, implement, and evaluate novel deep learning architectures for processing multimodal data streams.
- Collaborate with a multidisciplinary team of researchers, engineers, and domain experts.
- Write and publish high-quality research papers in top-tier academic conferences and journals.
- Present research findings at internal seminars and international conferences.
- Supervise and mentor undergraduate and graduate students working on related projects.
- Contribute to the development of prototypes and software tools for research applications.
Kualifikasi
- PhD or Masterâs degree in Computer Science, Artificial Intelligence, Human-Computer Interaction, or a related field.
- Strong background in Natural Language Processing (NLP) and/or Computer Vision (CV).
- Proficiency in programming languages such as Python, PyTorch, or TensorFlow.
- Proven track record of academic research, including peer-reviewed publications.
- Experience with multimodal learning frameworks (e.g., CLIP, T5, BERT, etc.) is highly desirable.
- Excellent written and verbal communication skills in English.
- Ability to work independently and meet research milestones in a timely manner.