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:
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Develop new algorithms for large language model training/fine-tuning
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Develop multimodality fusion algorithms for the development of a workable prototype system with capabilities such as conversational information retrieval, multimodal sense making, question answering, and chain-of-thoughts.
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Publish papers in top tier conferences and journals
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Collaborate with team members and funding agency to ensure timely and quality deliverables.
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Co-supervise of MSc and Final Year Project students involved in this project.
Job Requirements:
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PhD in Computer Science, or related field.
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Strong expertise in natural language processing and large language models
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Over 3-year research experience in the above required areas
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Excellent publication track record on top tier conferences/journals
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Proficiency in programming language Python
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Proficiency in English
PhD candidates going to submit thesis with 3 months are encouraged to apply.
We regret that only shortlisted candidates will be notified.
