Research Internship in Computer Vision (Part/Full-Time)

Basler AG; Germany (OH); Hybrid; USD 20,664 - 34,440; Part time

Benefits offered by this job

Modern technology equipment

Flexible work hours

Open communication culture

Fair payment

Job summary

A technology leader in computer vision seeks students for research roles focusing on developing methods and algorithms in imaging and AI. Ideal candidates are studying technical fields such as computer science or engineering, have a flair for problem-solving, and can work independently while valuing team collaboration. A flexible work schedule of 16-40 hours per week is offered, along with a supportive work culture and fair pay. Fluent German or English is a must.

Qualifications

• Currently studying a relevant technical field.
• Experience with Python and image processing is beneficial.
• Eager to tackle technical challenges.
• Enjoys independent work and team discussions.
• Fluency in German or English is required.

Responsibilities

• Work on practical research topics in computer vision.
• Develop concepts, methods, or algorithms.
• Collaborate with fellow students and team members.
• Choose topics from various advanced imaging techniques.

Skills

Python

Image processing software

Deep learning framework

Independent project work

Team collaboration

Fluent German or English

Education

Studying (technical) computer science

Studying image processing

Studying electrical engineering

Studying applied mathematics

Studying data science

Job description

Start in the 1st half of 2026, part-time or full-time with 16-40 hours per week

Basler is an international leader and experienced expert in computer vision. We offer a broad portfolio of vision hardware and software as well as customer-specific products and solutions.

We employ about 850 people at our headquarters in Ahrensburg, Germany, as well as other sales and development locations throughout Europe, Asia, and North America. Key factors in our more than 30-year success story include the courage to take risks, the willingness to see constant change as normal and the passion to pursue customer-oriented innovations.

Your responsibilities

In industrial research, you are given the opportunity to work on a forward-looking topic with high practical relevance. You will develop your own concepts, methods or algorithms, show that your ideas work and that you can convince colleagues with your results. We attach great importance to good supervision at a high level. You can interact intensively with other students and colleagues in the team.

In order to choose the right topic for you from our wide range, we ask you to tell us which of the following areas sounds most interesting to you:

• We create images of the contents of closed packaging using near-field radar imaging.

• We capture three-dimensional images with stereo cameras, stripe projection, and time-of-flight cameras, and process the 3D data using signal processing.

• We create digital models of our cameras, lenses, lighting, and other components and use them to simulate image processing in industrial systems in real time.

• Computer vision is about extracting the relevant information from these 3D images at speeds suitable for industrial use and using it to make decisions in real time. AI methods are primarily used here.

Your qualifications

• You study (technical) computer science, image processing, electrical engineering, physics, technical or applied mathematics, data science or a similar subject.
• If you already have experience with Python, image processing software and/or a deep learning framework, that's beneficial.
• Your eyes light up when you face a big technical challenge.
• You like to work independently on projects and at the same time you like to exchange ideas with your colleagues.
• Fluent German or English round off your profile.

What we offer

• We have a clear vision of where we are going, but the individual teams decide how to go about it.
• We welcome your fresh perspective from the outside and foster an open culture where all employees are encouraged to contribute ideas.
• Things that make your job easier: Your ownworkplace, very modern technology equipment as well as infrastructure, "one to one" support and mobile working.
• Fair payment, flexible planning of working hours and open communication: per you from the trainee up to the board of directors.

Your application

Join the team and apply quickly and easily online - without a cover letter. Please answer just one question, upload your application documents (CV and transcript of records) and state your preferred starting date and salary expectations.

Would you like to know more about us or do you have any questions? Contact Thomas at [e-mail]. We look forward to hearing from you!