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Machine learning/computer vision (phd) - cambridge (hybrid)

Cambridge
microTECH Global Limited
Posted: 20 October
Offer description

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 directions within the center.

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


Skills and Qualifications

* 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.

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