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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

12Open Positions

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    Found 2 months ago
  • Internship: 6G Wireless Communication Research

    Philips
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    Found 2 months ago
  • Internship Position: Teleport Systems technician/engineering Assistant

    Thales
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    Found 2 months ago
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    Found 2 months ago

Trainee in System Engineering for AI & Vision applications

CSEM
Found 2 months ago
Location
Neuchâtel, Switzerland
Duration (Months)
100 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • C++
  • Linux
  • optics
  • image sensors
  • electronics
  • mechanical housing
  • interfaces
  • 3D Modelling
  • CAD Design
  • SolidWorks

Soft Skills

  • Strong teamwork and cross-disciplinary collaboration
  • Clear communication with engineers, researchers, and partners
  • High autonomy and self-driven attitude
  • Curious and eager to learn new technologies
  • Strong problem-solving / troubleshooting mindset
  • Good documentation and reporting skills

Job Description

The applied research and industrial activities conducted within the Edge AI and Vision section of CSEM are devoted to capture process and extract visual information from scenes. Our activity spreads from the development of complete system solution and innovative ASIC for pre-processing images to the high level algorithmic processing for extracting the captured information. As a System Engineer Trainee you will participate in our efforts in research and development.

Requirements

  • Degree in Micro-Engineering, Mechanical Engineering, Optical Engineering
  • Proficiency in programming languages such as Python, C++, Linux.
  • Strong system engineering skills, especially integrating: optics/image sensors/electronics/mechanical housing / interfaces
  • 3D Modelling and CAD Design (SolidWorks).
  • Research Aptitude: demonstrated research experience through coursework or prior projects and show eagerness to engage in research activities and a willingness to learn and contribute to ongoing projects.
  • Academic Excellence: strong academic record, with a history of outstanding performance in relevant coursework.

Related Field

  • Software Engineering

Related Subfield

  • AI/ML/GenAI Engineering

Languages

  • English
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