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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.