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
Key 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).
-Ability to communicate well and to collaborate with other group members.
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