Doctoral researcher in Machine Learning Algorithms Efficiency

About us

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine.

Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in.

Your role

We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training costs and energy requirements of state-of-the-art deep learning models significantly, while democratizing them for a vast community of users, researchers, and practitioners. The task is to perform just high-risk / high-gain research without any teaching obligations.

The successful applicant will be supervised by Decebal Mocanu. For informal enquiries, please contact

Your profile

• BSc (graduated) and MSc (graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields.
• Scientific curiosity and creative thinking
• Ambition to publish or experience in publishing at A
• level conferences
• Strong programming and problem-solving skills
• Analytical mindset, hard worker, and team player
• Experience in a research or industrial environment is a plus

Language Requirements :

Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission - Doctoral Candidates .

We offer

How to apply

Applications should include :

Names and contact details of 2-3 referees. Just the referees of the short-listed candidates will be contacted

Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 16 April 2026 ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information :

The yearly gross salary for every PhD at the UL is EUR 41976 (full time).