AI & Cryptography – MSc & PhD Student Positions – Israel Research Lab

Key Skills

Aartificial intelligence, C Programming, C++, Cryptography, Deep Learning, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch

Job Description

At , work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of and solve some of the world’s most challenging problems? If so, lets talk.

Your Role and Responsibilities

• Passionate about Machine Learning and Cryptography, seeking to make an impact in groundbreaking research? Our team offers a dynamic, enriching environment to collaborate with professionals in these fields. We invite you to join our Privacy Preserving Analytics team. In this role, you will delve into advanced research and development in privacy-preserving technologies such as Homomorphic Encryption for AI. Your work will be pivotal in developing innovative solutions for training Large Language Models (LLMs) for Homomorphic Encryption, a cutting-edge intersection of AI and Cryptography.

• This opportunity is your chance to be at the forefront of shaping the future of data privacy and security in AI, contributing to critical advancements in these rapidly evolving fields.

• Please add your grade sheets to your application.

Required Technical and Professional Expertise

• Master’s or PhD students in Computer Science, Mathematics, Electrical Engineering, or a related field with a focus on Machine Learning or Cryptography in a leading university.
• Strong background in training large DL models, particularly in training and optimization. (advantage: training LLMs)
• Strong Python/C/C++ coding skills. Experience with PyTorch
• Research Experience: Contributions to significant projects or published work in ML, NLP, cryptography, or privacy-preserving technologies

• Please add your grade sheets to your application. Applications without grade sheets will not be considered.