שלב ראשון בחזרה לארץ הוא מציאת עבודה ההולמת את כישוריכם והידע שצברתם. לתכנית קשר ישיר ואישי עם מעסיקים רבים בתעשייה ובאקדמיה.
נוכל להניח את קורות חייך על שולחנו של מנהל ההשמה ולעקוב ולעדכן אחר התקדמות תהליך ההשמה. נציע לך משרות מתאימות ונפנה עבורך למעסיקים חדשים שעדיין לא שותפים בתכנית.

 
 

התכנית מושתתת על יחס וליווי אישי לאורך כל תהליך החזרה. לשם כך אנו מפעילים מתאמי קשר אישיים לכל אקדמאי המעוניין לחזור. מתאם הקשר ילווה אתכם ויסייע לכם החל במציאת עבודה וכלה בכל תהליכי הקליטה והחזרה. התכנית מקיימת שיתוף פעולה הדוק עם המעסיקים, המשרדים המטפלים והארגונים השונים כדי להקל את חזרתכם לארץ.

 
 
התכנית הוקמה על בסיס החלטת ממשלה לטיפול בנושא "בריחת המוחות". אנו עוסקים באיסוף נתונים, עריכת סקרים ומחקרים וגיבוש המלצות עבור קובעי המדיניות במדינה.
גם אתם יכולים להשפיע – הצטרפותכם לתכנית תאפשר לכם להשתתף בסקרים ולשפר את מאזן Brain Drain / Brain Gain הישראלי.
 
 
 
 
מכללת תל-חי
A Tenure-track Position at the Department of Computer Science,
Tel-Hai College
The department of Computer Science at Tel-Hai College invites
applications for a tenure-track position. Candidates from all areas of
computer science are encouraged to apply. A PhD in Computer
Science, demonstrated promise in research and commitment to
teaching are required. Tel-Hai College emphasizes quality in teaching
and encourages research activity. Benefits include a substantial
allowance for research related expenses and reduced teaching load for
candidates with strong research promise.
Applicants should include a CV and contact information for three people
who can comment on the applicant's professional qualifications.
Dr. Ran Ziv
Head of the Department of Computer Science
Tel-Hai College, Israel.
 
IBM
Job description
• System engineering and architecture for high-end enterprise level storage
• Responsibility for leading deep system engineering activities in the following aspect:

o Multidiscipline end-to-end system understanding
o System level HW architecture 
o Specific system component technical deep dive , market analysis
o Interlocking with variety of worldwide teams – Vendors, Development, Manufacturing, Field Support

Tasks: 
• System HW architecture definition
• HW technical requirement/specification per system component
• HW system and component integration – testing, qualification, monitoring
• Troubleshoot failures by understanding if it a SW/HW issue
• Isolation of failures, assessment impact on the system
• Close relationship with vendors / day-to-day vendor management – monitor and review vendor development and testing, drive technical solutions, monitor quality

Job Requirements: 
• At least 10 years of experience in HW design and/or HW System Engineering
• Experience in a Technical Leadership role
• B.Sc. in Electrical Engineering from known university
• x86 Platform experiences in areas such as: CPU, Intel Chipset, Memory, PCI-e
• Advantage - Knowledge in HW design - Board Design, Digital Design, Mechanical design, Power
• Advantage - Storage Systems Specific knowledge
• Advantage - Storage Media Knowledge – HDDs, SSDs
• Advantage – Firmware development and understanding
• Hands-on approach
• Programing and scripting capabilities
• Strong understanding of High Level System Aspects 
• Unix/Linux operation systems 

Personal Skills:
• Independent, Self-learning ability
• Strong communication skills in both English and Hebrew
Required
  • Bachelor's Degree
  • At least 10 years experience in HW design and/or HW System Engineering
  • English: Fluent
  • Hebrew: Fluent
 
IBM
Researcher for the Cognitive Vision and Interaction Group
Location: Haifa

Description:
This position involves developing cutting-edge computer vision technologies in the Cognitive Vision and Interaction group in IBM Research - Haifa. The selected candidate will research and develop innovative solutions using state-of-the-art technologies in machine learning for multi-objects recognition systems. The team addresses challenges in computer vision, such as: image processing, objects detection, objects recognition, machine learning, 3D tracking and augmented reality.

Requirements:
Candidates must have strong programming skills. Hands on experience in using C/C++. Be creative thinker, team player with self-education abilities. Strong problem determination and resolution skills are required. Experience in applying advanced machine learning technologies. Learning experience of the relevant courses.

Education:
M.Sc/PhD in CS/EE
Required
  • Master's Degree
  • English: Fluent
  • Hebrew: Fluent