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Mohammed VI Polytechnic University

Just Landed

Postdoctoral Fellow in Machine Learning for Multimodal Representation Learning and Retrieval Mohammed VI Polytechnic University in Morocco

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Dec 4, 2026

Country flag

Country

Morocco

University

Mohammed VI Polytechnic University

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Keywords

Computer Science
Mathematics
Clustering Algorithms
Dimensionality Reduction
Statistics
Applied Mathematic
ML

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About this position

The Data Intelligence Group at the College of Computing of Mohammed VI Polytechnic University is seeking two postdoctoral fellows to support research in machine learning, with a particular emphasis on multimodal representation learning and retrieval.

The fellows will conduct scientific research and develop novel algorithms for representation learning, dimensionality reduction, clustering, and search. The work will include theoretical and experimental performance analysis, with opportunities to publish results in high-quality conferences and journals and present them at national and international scientific events.

The role is embedded in a growing, supportive group with internationally recognized expertise in data management and machine learning. The group collaborates with academic and industrial partners and contributes to undergraduate and graduate supervision, research proposal development, teaching and training activities, course creation, and the organization of workshops and seminars related to machine learning.

Research will take place within the College of Computing at the university’s campus in Benguerir, Morocco, in an international research environment serving Morocco and the African continent.

Funding details

Available

What's required

Applicants must hold a Ph.D. in Computer Science, Applied Mathematics, or a related field. A strong publication record in machine learning is required, with preference for expertise in representation learning, deep embeddings, contrastive learning, or foundation models. Applicants should have solid backgrounds in linear algebra, probability, and statistics; strong programming skills with deep learning frameworks such as PyTorch and standard data analysis tools; and familiarity with data structures, algorithms, and ideally search or indexing techniques. Excellent communication, analytical, teamwork, and organizational skills are expected. Final-year Ph.D. students may apply if they expect to obtain their degree by September 2026. Application materials must include an up-to-date CV, cover letter, and full transcripts; the CV must provide specified high-school and university academic information.

How to apply

Submit the application online through the job portal and email the materials to [email protected] with the subject “[Postdoctoral Fellow Position]”. Include an up-to-date CV and a zipped archive containing a cover letter and full transcripts.

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