Postdoctoral Associate in Machine Learning: Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) invites applications for a Postdoctoral Associate position focused on advancing efficient machine learning and distributed learning. This role offers an opportunity to work in a dynamic and collaborative research environment at a globally recognized AI university located in Abu Dhabi, UAE.
Postdoctoral Associate in Efficient and Distributed Machine Learning
Designation: Postdoctoral Associate
| Details | Information |
|---|---|
| Research Area | Efficient Machine Learning and Distributed Learning |
| Location | Abu Dhabi, UAE |
| Eligibility/Qualification | Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field |
| Application Deadline | June 30, 2026 at 11:59 PM Eastern Time |
Job Description:
As a Postdoctoral Associate, you will contribute to the theoretical foundations and practical implementations of scalable AI systems. Your key responsibilities will include:
- Designing and implementing novel algorithms for scalable, efficient, and decentralized training of machine learning models.
- Conducting theoretical research on optimization, generalization, or communication-constrained learning.
- Translating theoretical insights into practical methods deployable in real-world settings.
- Publishing in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, COLT, JMLR).
- Contributing to open-source software and reproducible research pipelines.
- Mentoring graduate students and collaborating across interdisciplinary teams.
Qualifications:
Minimum Requirements:
- Strong publication record in machine learning, optimization, or distributed systems.
- Proficiency in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Solid programming skills and analytical thinking.
- Effective written and verbal communication skills.
Preferred Qualifications:
- Demonstrated ability to bridge theory and practice in scalable ML.
- Experience with federated learning, quantization/pruning, or systems-level ML design.
- Familiarity with topics such as stochastic optimization, communication-efficient algorithms, or model compression.
- Previous mentorship experience or collaborative research across domains.
How to Apply:
Interested candidates should submit the following documents:
- Cover Letter
- Curriculum Vitae (C.V.)
- A link to your Google Scholar profile
- A 1–2 page research statement outlining directions you would like to pursue in efficient or distributed machine learning (optional)
Applications will be reviewed on a rolling basis, and the position will remain open until filled.
For more information or to apply, please visit MBZUAI Careers.
Last Date for Apply: June 30, 2026 at 11:59 PM Eastern Time
