Machine Learning/Computer Vision (PhD) – Cambridge (Hybrid)
microTECH Global
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 QualificationsKey Skills Required: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).
Cambridgeshire
Mon, 11 Aug 2025 07:59:36 GMT
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