Image Processing Intern: Computer Vision for Manufacturing

SmartRecruiters, Inc.; Osmangazi; On-site; TRY 33,000 - 67,000; Part time

Job summary

Bosch is offering an internship to contribute to image processing projects within manufacturing contexts. You will develop and support computer vision solutions, explore state-of-the-art methods, and collaborate with international teams to integrate software and hardware for industrial use.

Ideal candidates are 3rd/4th-year students in engineering, with Python/C++/C#, OpenCV familiarity, and strong English communication. An eagerness to learn and proactive mindset are valued.

Qualifications

• Pursuing 3rd/4th year Bachelors or Masters in relevant engineering fields.
• Strong interest or experience in image processing and manufacturing technologies.
• Experience in AI projects or model development.
• Knowledge of Python, C++, or C#.
• Familiarity with OpenCV.
• Knowledge of image acquisition hardware is a plus.
• Excellent English communication and teamwork.
• Proactive, eager to learn and able to self-learn.

Responsibilities

• Develop and support image processing solutions for manufacturing processes.
• Assist in implementing computer vision solutions in real-world production environments.
• Follow academic studies and explore state-of-the-art image processing methods.
• Collaborate with international software development teams.
• Gain hands-on experience in integrating software and hardware for industrial applications.

Skills

Image processing

Manufacturing tech

AI projects

English communication

Teamwork

Self-learning

Education

3rd/4th year undergrad or postgrad in Computer/Software/E&E/Mechatronics

Tools

Python

C++

C#

OpenCV

Image acquisition hardware

Job description

Bosch is offering an internship to contribute to image processing projects within manufacturing contexts. You will develop and support computer vision solutions, explore state-of-the-art methods, and collaborate with international teams to integrate software and hardware for industrial use.

Ideal candidates are 3rd/4th-year students in engineering, with Python/C++/C#, OpenCV familiarity, and strong English communication. An eagerness to learn and proactive mindset are valued.