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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

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  • Internship or Working Student in 3D Computer Vision

    ZEISS Group
    Oberkochen, Germany
    Found 1 month ago
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    Found 3 weeks ago
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    AMD
    Belfast, United Kingdom
    Found 1 month ago
  • Student assistant

    Technische Universität Berlin
    Berlin, Germany
    Found 1 month ago
  • Stagiaire – Calcul embarqué des pertes IGBT d’un onduleur moyenne tension (H/F)

    GE Vernova
    Belfort, France
    Found 2 months ago

Internship or Working Student in 3D Computer Vision

ZEISS Group
Found 1 month ago
Location
Oberkochen, Germany
Duration (Months)
4 Months
Time
Full-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • C++
  • 3D computer vision

Soft Skills

  • Communication skills
  • Collaborate
  • work in complementary teams
  • willing to learn
  • explore with a high degree of initiative and creativity

Job Description

Integrated in a team of scientists and research engineers, you will work (for at least 4 months) on research projects in 3D computer vision for next-generation metrology systems. These projects range from object classification, transfer learning, synthetic data pipelines and dimensional accuracy measurement

Requirements

  • You are interested in technology and motivated to work on challenging tasks
  • You are enrolled in a bachelor’s or master's degree in Computer Science, Mechanical Engineering or similar
  • You have a strong computer science background with very good coding skills in Python and C++
  • You also have some experiences in at least one of the topics listed above
  • You are willing to collaborate and work in complementary teams
  • Good communication skills in English and/or German
  • You are willing to learn and explore with a high degree of initiative and creativity

Related Field

  • Software Engineering

Related Subfield

  • Software QA & Testing

Languages

  • English
  • German

Nice to Haves

  • object classification
  • transfer learning
  • synthetic data pipelines
  • dimensional accuracy measurement
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