Call for Applications: Azrieli International Postdoctoral Fellowship 2023-24

1 May, 2022

This fellowship provides generous funding and support for 24 international postdoc applicants from outside of Israel, interested in conducting research in Israel in all fields of research.

The funding is provided for two years, with the potential to extend the scholarship for a third year on the basis of excellence.

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The program includes:

  • Annual scholarship of approx. €53,000 (ILS 188,000) to cover living and research expenses (a monthly stipend of NIS 14,000 + A yearly research budget of NIS 20,000)
  • Support staff dedicated to the wellbeing of all program fellows and their families throughout their stay in Israel
  • Enrichment activities and unique opportunities for interdisciplinary and cross-cultural exchange, leadership training, community engagement, and professional mentorship
  • Opportunity to take part in a growing network of outstanding early career scientists and scholars

Note! A maximum of 24 Azrieli International Postdoctoral Fellowships are awarded each year: up to 18 Fellowships in STEM fields, up to three in humanities and up to three in social sciences.
In STEM fields, the academic sponsor will finance 25 percent of the stipend, totalling ILS 84,000 for two years.

Attached please find the detailed application guidelines. Further information can be found here.

The online application opens on September 1, 2022 and closes on November 15, 2022.

We welcome your efforts in encouraging suitable candidates who completed their doctoral studies outside of Israel and do not have Israeli citizenship/residency to apply to the Azrieli Scholarship Fund.

For further information or inquiries, please contact:
Tal Mordoch

Admissions Manager

Azrieli Fellows Program

Phone: +972-9-9705907


HUJI Contact Person: Keren Sagi,

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Call for Applications
Moshe Shenfeld

The Hebrew University Student Wins Prestigious Apple AI Fellowship Israelis Nab 2 Out of 15 Spots Worldwide

20 March, 2022

(Jerusalem, March 17, 2022)—Moshe Shenfeld, a computer science PhD candidate at Hebrew University of Jerusalem (HU)’s Rachel and Selim Benin School of Engineering and Computer Science has been selected as an Apple Scholar in AI/Machine Learning for 2022.  Shenfeld is one of only 15 awardees worldwide, the other Israeli recipient is from Tel Aviv University.  The PhD fellowship in Machine Learning and AI was created by Apple “to celebrate the contributions of students pursuing cutting-edge fundamental and applied machine learning research worldwide”.

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Currently, Shenfeld is researching privacy-preserving machine learning under the supervision of HU Professor Katrina Ligett.  His PhD focuses on differential privacy and its relation to adaptive data analysis and machine learning.  This is a relatively new area in computer science that explores how sensitive information with research value—such as data from hospital records—can be made accessible to researchers while also ensuring the privacy of the individuals involved.  With the help of his Apple mentor, Shenfeld hopes to create more effective barriers to data breaches, and to move privacy protection from the hands of corporations into the hands of users, so that users will not have to place their trust in external companies.


Prior to Hebrew University, Shenfeld studied at Yeshivat Hebron. He received his high school equivalency degree at the age of 24, after serving in the army.  Until he decided to go back to for a PhD, Shenfeld had a successful career at Mobileye.  “Being able to leave a job in hi-tech to pursue a PhD is a real privilege.  Getting an Apple Scholarship made it possible.  Apple has the largest differential privacy research group in the world and is unique because they put their findings into action--it’s not just theoretical.  I’m excited to do an internship there this summer or next, depending on the coronavirus.”


Each Apple Scholar will receive support for their research and academic travel and a coveted two-year mentorship with an Apple researcher in their field.


For more information, see
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