Machine Learning/Computer Vision (PhD)

• 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.

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.