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Essa Khalil

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MSc and PhD openings in deep learning and modern artificial intelligence at Bar-Ilan University Bar-Ilan University in Israel

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Israel

University

Bar Ilan University

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Keywords

Computer Science
Deep Learning
Mathematics
Artificial Intelligence
Optimisation
Statistics
Laboratory Experimentation
Large Language Models
Machine learning

About this position

MSc and PhD openings in deep learning and modern artificial intelligence at Bar-Ilan University

Noam Razin is recruiting highly motivated MSc and PhD students to join the Computer Science & AI Department at Bar-Ilan University as he starts as an Assistant Professor. The group’s research sits at the intersection of computer science, machine learning, and the theoretical foundations of deep learning, with a strong emphasis on combining mathematical analysis with systematic experimentation.

Research topics mentioned in the post include modern AI systems, language models, post-training, preference-based alignment, reward functions, catastrophic forgetting, reward model generalization, and methods for improving efficiency, reliability, and performance. This is a good fit for students interested in theory-and-practice research on deep learning and AI systems.

The announcement explicitly invites both MSc and PhD applicants. A strong academic record is requested, along with genuine interest in open-ended research and the ability to work on challenging problems at the boundary of theory and practice.

To apply, email [email protected] with your CV and grade transcripts. The post does not mention a deadline or funding details.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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