לוח משרות דרושים סטודנטים - מדעי המחשב מתאים גם לסטודנטים, לחיפוש זה נמצאו 47 משרות

Requirements:
Available for shift work 24/7, including night shifts, weekends and holidays
Minimum 3 shifts per week
Experience in a digital work environment
Prior work in an operations or military/security command center - An advantage
Practiced in multitasking and working under pressure
Ability to express yourself in both Hebrew and English
Strong work ethic and sense of personal responsibility
Service oriented and strong interpersonal skills
Completed military or national service.

Requirements:
Students in a relevant degree (computer science, software/electric/industrial engineering) with at least 2 semesters left to complete
Fluent in English (speaking, reading, and writing)
Availability to work onsite in the Netanya office
High technical orientation
Ability to work well under pressure
Willingness to work at least 3 shifts a week, including nights and weekends

Requirements:
Computer Science / SW Eng. students with a strong technical background
Basic programming knowledge of JavaScript, Python, or C.
Customer oriented (direct communication with global customers)
Organized with fast learning skills
Super responsible and quick delivery mentality
Fully proficient in English
Willingness to work at least 3 shifts a week, including nights and weekends

Requirements:
BSc Electrical / Communication Systems Engineer / Computer Science student with more than two years left to complete
Grade average > 82
Knowledge in Python and C languages
Team Player, collaboration skills and interpersonal communication skills
Independent learning ability, initiative and proactive thinking
Availability for 3 days a week or more
Advantages:
Experience in defining test procedures, writing test documents
Experience with test equipment, building test setups
Knowledge in telecommunication, preferable to wireless protocols
Experience in writing test scripts, developing test tools and automation
Experience with Object Oriented Programing
Experience with Groovy
Experience with Wireshark
Experience with Atlassian systems such as Jira, Bitbucket and ConfiForms (Confluence)

Requirements:
You are pursuing your doctoral research under the supervision of an advisor who is actively conducting research in LLMs domain, generative AI, or closely related fields. Please include your advisors name in your CV or application.
You have at least one full year of study remaining before completing your degree and are available to dedicate a minimum of 2 full days per week to the internship.
Full proficiency in Python and common machine learning and deep learning frameworks such as PyTorch, TensorFlow, or equivalent tools. Good familiarity with using coding agents like Claude code and GitHub copilot.
Preferred Qualifications
Publications at recognized conferences or journals in the LLMs domain are highly valued, particularly work involving post-training, model adaptation, agentic AI, or evaluation. Please include references or links to relevant publications with your CV and briefly describe your contribution.
Demonstrated knowledge and experience in designing rigorous experiments, curating high-quality datasets, developing benchmarks and graders, and applying statistical methods to evaluate and analyze model quality and behavior.
Strong written and verbal communication skills and the ability to collaborate effectively in a multidisciplinary, globally distributed team.
Previous professional experience in software engineering is considered an advantage.