Nadav Cohen  —  Group

Members

 

Noam Razin
PhD student

 

Omer Elkabetz
MSc student

 

Asaf Maman
MSc student

Call for Students

I am looking for excellent research students to join my group. The group's research focuses on the theoretical and algorithmic foundations of deep learning. It adopts a highly mathematical approach, but also includes extensive empirical evaluations to support theory. For further details on our research please consult the materials on this website (papers, talks, blog posts etc.).

Students will typically join the group at MSc level, with the option of pursuing a subsequent PhD if there is mutual interest. Entry at PhD level will only be considered in exceptional cases. If you are interested in applying, please verify that you meet the criteria below, and if so, send your CV and grade transcripts via e-mail.

Prospective MSc Students

Requirements:

  • BSc from a well-known university, with GPA of at least 95.0/100 (or equivalent), in one of the following disciplines:

    • Mathematics

    • Mathematics & Computer Science

    • Mathematics & Electrical Engineering

    • Mathematics & Physics

  • Successful completion of introductory course in machine learning (Tel Aviv University's course #0368323501 or equivalent)

  • Solid Python programming skills

  • Willingness and ability to devote full-time to research

  • High degree of independence, work ethic and creativity

Advantage:

  • Experience with deep learning frameworks (e.g. TensorFlow or PyTorch)

  • Professional (industry) experience in machine learning

Prospective PhD Students

In addition to the requirements above, applicants interested in joining at PhD level are expected to meet at least one of the following:

  • Proven track record in machine learning research (with publication in top-tier conferences)

  • Advanced coursework and research in either of the following:

    • Statistics

    • Optimization

    • Dynamical Systems

    • Numerical Analysis

    • Quantum Physics

    • Quantum Computing