At Endress+Hauser, progress happens by working together. As the global leader in measurement instrumentation, our over 17,000 employees shape the future in the field of process automation. Whether developing and realizing new technology as a team, collaborating to build instrumentation, or strengthening vital relationships with countless global industries, we work to create trusted relationships that help everyone thrive. As a family-owned company, we look beyond short-term moves and work to create a vision that is forward-thinking for our people, our clients, and the world at large.

At the location FRIZ in Freiburg, Germany, we are looking for a student (5-15 h / week) in the field of computer vision. More precisely, your job will be to help develop or adapt existing event-based CV algorithms to specific applications.

Which tasks will you perform?

You will:

• Develop and implement computer vision algorithms in C++ or in Python.
• Test the algorithms in real-world applications, both in the laboratory settings and at industrial sites at key customers.
• Collaborate closely with experts in the field who will support your learning and development

What do we expect from you?

You:

• Are familiar with C++ and/or python.
• Ideally have experience in computer vision, especially in calibrating industrial cameras.
• Can access and use libraries such as OpenCV or Halcon.
• Have good communication skills
• Are capable of tackling problems independently.

What can you expect from us?

• We are a family-owned, highly committed company with a sustainable vision.
• We prioritize Work-Life Balance, offering flexible working hours and remote work options.
• We provide on-site amenities, including a canteen and modern, ergonomic workstations.

How do you apply?

To apply, please upload your documents on our career page. Applications sent by email cannot be considered due to data privacy regulations.

Agencies, HR service providers, or similar entities are kindly requested to refrain from unsolicited submissions. Any such applications will be disregarded.

#LI-PL1