Machine Learning/Computer Vision (PhD) - Cambridge (Hybrid)

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to:

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• Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP).

  
  

• Visual LLMs (e.g. LLaVA).

  
  

• Generative Models (e.g. Stable Diffusion and Auto-Regressive models).

  
  

• Efficient Architectures.

  
  

• Model Compression (distillation, quantization).

  
  

• Efficient Adaptation of Large Models.

  
  

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• Conduct hands-on innovative research, including methodological conceptualization and implementation.

  
  

• Publishing at top venues: CVPR, ECCV, ICCV, ICLR, NeurIPS, ICML, EMNLP, ACL, TPAMI and IJCV.

  
  

• Contribute to the research agenda and directions within the center.

  
  

• Interact with product and engineering teams for the purpose of technology transfer.

  
  

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• Research experience in the fields of Computer Vision and/or Machine Learning.

  
  

• Familiarity with fast prototyping Deep Learning frameworks such as PyTorch.

  
  

• A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI and IJCV).

  
  

• Ability to communicate well and to collaborate with other group members.