Postdoctoral Fellow – College of Computing

Job Description

The Data Intelligence Group at UM6P-CC is seeking two postdoctoral fellows in machine learning who will support the group’s projects in the rapidly growing field of multimodal representation learning and retrieval.

The specific responsibilities of the postdoctoral fellow will include:

• conduct scientific research in the field of machine learning.
• develop novel machine learning algorithms primarily for representation learning, dimensionality reduction, clustering and search.
• conduct theoretical and experimental performance analyses of the proposed algorithms.
• publish research results in high-quality venues (conferences and journals) and present them in national and international scientific events and conferences.
• contribute to the supervision of undergraduate and graduate students.
• assist in writing research proposals.
• contribute to training and teaching activities, including the development of new courses.
• assist in the organization of workshops, seminars and other national and international events related to machine learning.
• work effectively with the DMG team and help nurture internal and external collaborations with academic and industrial partners.

Qualifications

• Ph.D. in Computer Science, Applied Mathematics, or a related field.
• Strong publication record in machine learning, with preference for expertise in representation learning, deep embeddings, contrastive learning, or foundation models.
• Solid background in linear algebra, probability, and statistics.
• Strong programming skills with deep learning frameworks (e.g., PyTorch) and standard data analysis tools.
• Familiarity with data structures, algorithms, and—ideally—search or indexing techniques.
• Excellent communication skills and strong analytical, teamwork, and organizational abilities.