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

Overview

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:

• 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.

Key Responsibilities

• 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 direction...