We are seeking a candidate to take an active role in the group's research on developing novel machine learning/computer vision methodology. Special focus in this project will be on the development of deep learning methodology for learning from limited labeled data (few-shot/self-supervised/metric learning and/or deep clustering). The position will be part of the already ongoing effort to design approaches that explore geometric properties of the embedding spaces and the alignment of multiple modalities. We are looking for a motivated candidate who is independent thinking and enjoys working in a team. The suitable candidate should have expertise in deep learning and a strong documented background in mathematics is needed.