The School of Electrical and Electronic Engineering is seeking to hire a talented Research Fellow in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question answering and chain-of-thoughts.

The Research Fellow will work on a project to conduct research on the development of multimodal large language models.

Key Responsibilities:

• Design strategies for training data collection and annotation

• Develop new algorithms for multimodal large language model training.

• Develop a workable prototype system with capabilities such as conversational information retrieval, multimodal sense making, question answering, and chain-of-thoughts.

• Publish papers in top tier conferences and journals

• Collaborate with team members and funding agency to ensure timely and quality deliverables.

• Co-supervise of MSc and Final Year Project students involved in this project.

Job Requirements:

• PhD in computer science, or related field.

• Strong expertise in natural language processing and large language models.

• Over 3-year research experience in the above required areas

• Experiences in computer vision is preferred.

• Excellent publication track record on top tier conferences/journals

• Proficiency in programming language Python

• Proficiency in English

PhD candidates going to submit thesis within three months are encouraged to apply.

We regret that only shortlisted candidates will be notified.