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Do you want to work with top Security researchers to impact this research field?
You will work with brilliant professionals and have the opportunity to work in a dynamic, interesting and challenging environment.
We are offering a variety of summer internships for MSC and PHD students from CS/CE/EE faculties.
Summer Internship last 3 months during the summer (July-September, flexible), in which the students work full time on a research in one of our fields.
Topics for research this summer:
Applying machine learning algorithms on FHE data
The project aims to provide ML algorithms and other commonly used algorithms on top of fully homomorphic encryption with optimal performance and accuracy
Detection of Advanced Threats
Participate in R&D projects where cutting-edge security technology is developed for detection of cyber attacks and protecting computer systems and applications against advanced cyber threats .
Our labs projects address several of the key use cases related to enterprise protection, including detection of fraudulent bank transactions, authentication and verification of employee and user identity, and security cloud infrastructures.

The Hybrid Cloud department is looking for an outstanding research intern with experience and interest in cloud computing and distributed systems. We have a number of openings in which you can be a part of a research team in the following areas:
Solving real-world problems in managing data for Generative AI
Building the next generation of high performance and programmable networks for the multi-cloud era
Global storage systems
Multi-cloud observability
Multi-cloud control and management plane
Our summer internship program offer you an opportunity to join our research team for 3 months internship (working 5 days a week) in either Haifa or
Tel Aviv sites (according to each internship).
During the internship, you will be working with our talented researcher on top projects, helping create the next generation of AI, security, quantum, cloud and much more.

We are looking for a Research Intern.
Research Intern in the challenging areas of multimodal foundation models with application to a wide variety of business use-cases such as multimodal alignment, question answering, and information extraction. The research will also include concrete tasks such as document understanding, layout analysis, text extraction, image understanding, and data synthesis.
Role and Responsibilities :
If youre a student interested in the fields of machine learning, deep learning, and computer vision, and youre looking to come to a summer intern position where you will do research with academic and industrial impact, then this position is for you!
Our team develops technologies, models, algorithms, and software that make an impact on our products and on the world, and we publish papers and issue patents based on the work we do.
This internship involves solving a real-world problems using cutting edge deep learning/machine learning methods, with the aim to advance the state of the art in the domain of document understanding. Document understanding is the ability to read documents, understand their structure and content and act upon it. This is a crucial technology as business documents are key to the day-to-day operation of organizations.
Document understanding remains a research challenge that requires a multi-disciplinary perspective, spanning textual analysis, visual comprehension, layout understanding, knowledge representation, data mining and more. The areas we are looking at include also multimodal and foundation models, image understanding, and data synthesis.
To achieve the internship goal, you will collaborate with fellow team members and have access to nearly limitless compute power (GPU). The research topics for this internship include, novel self-supervised learning techniques, realistic data synthesis, Vision and Language multimodal research, and more.
The results of the project aim to include a publication in a top AI conference and development of a prototype demonstrating new AI functionality.
Succeeding in these tasks is expected to make an important impact on the research community in these exciting fields and lead to strong publications in a leading CV venue (e.g. CVPR / ICLR / ICCV).