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 and Language (e.g. CLIP, BLIP).
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Visual LLMs (e.g. LLaVA).
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Generative Models (e.g. Stable Diffusion and Auto:Regressive models).
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Efficient Architectures.
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Model Compression (distillation, quantization).
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Efficient Adaptation of Large Models.
Key Responsibilities:
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Conduct hands:on innovative research, including methodological conceptualization and implementation.
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Publishing at top venues: CVPR, ECCV, ICCV, ICLR, NeurIPS, ICML, EMNLP, ACL, TPAMI and IJCV.
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Contribute to the research agenda and directions within the center.
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Interact with product and engineering teams for the purpose of technology transfer.
Skills and Qualifications
Key Skills Required:
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Research experience in the fields of Computer Vision and/or Machine Learning.
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Familiarity with fast prototyping Deep Learning frameworks such as PyTorch.
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A track record of publishing at top:tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI and IJCV).
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Ability to communicate well and to collaborate with other group members.