Key Responsibilities

• Conduct literature reviews to identify relevant prior work, formulate research hypotheses, and propose novel technical directions in human-object interaction representation learning.
• Design and implement machine learning methods for learning representations of human-object interactions from egocentric video, hand pose, object-centric features, and language.
• Investigate multimodal representation learning approaches that capture spatial relationships, hand-object contact, manipulation dynamics, and temporal interactions.
• Explore methods for integrating human-object interaction representations into modern video understanding models and vision-language models.
• Develop and evaluate learned representations on downstream tasks such as action recognition, temporal action segmentation, error detection, procedural activity understanding, and skill assessment.
• Design rigorous experiments, evaluation protocols, and ablation studies to assess representation quality, generalization, and downstream task performance.
• Build data processing, model training, and evaluation pipelines for multimodal human-object interaction learning.
• Analyze experimental results, communicate research findings, and collaborate with researchers to develop novel methods suitable for publication at leading conferences such as CVPR, ICCV, ECCV, NeurIPS, and ICLR.

Minimum Qualifications

• Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
• Strong background in machine learning and deep learning, with hands-on experience in computer vision, representation learning, or multimodal learning.
• Proficiency in Python and deep learning frameworks such as PyTorch.
• Demonstrated understanding of one or more of the following areas: video understanding, human-object interaction, action recognition, human pose modeling, representation learning, or vision-language models.
• Experience designing and conducting empirical machine learning experiments, including data preprocessing, model training, evaluation, and ablation studies.
• Strong analytical and problem-solving skills, with the ability to understand, implement, and extend methods from recent research papers.
• Strong written and verbal communication skills, with an interest in conducting original research and publishing at leading academic conferences.

Bonus Qualifications​