FAQs
What is the duration of the internship?
The internship lasts for at least 3 months.
What academic qualifications are required for this internship?
Candidates must have a bachelor’s degree in computer science, mathematics, physics, or related fields with an outstanding study record and must be currently enrolled in a master’s program.
What skills are necessary for this role?
A solid understanding of machine learning and computer vision is required, along with programming skills in Python and hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
Is prior experience in research necessary?
While prior research experience is not explicitly stated as required, a background in machine learning and creativity in taking academic ideas to working prototypes will be beneficial.
What qualities are you looking for in a candidate?
We are looking for candidates who demonstrate high motivation, creativity, flexibility, and a structured and independent way of working, along with effective communication and presentation skills.
Who should I contact for more information about the internship?
You can contact Laura Steininger from the ZEISS Recruiting Team for more information about the internship.
Will there be opportunities to work on innovative projects during the internship?
Yes, interns will work on developing core algorithms and taking academic ideas into working prototypes, providing opportunities to engage in innovative projects.
Is this internship suitable for international students?
The job description does not specify any restrictions, so it is advisable to check directly with the ZEISS Recruiting Team regarding the eligibility of international students.
What type of work environment is expected during the internship?
Interns will be integrated into a fast-growing team of scientists and research engineers, contributing to a collaborative and dynamic work environment.

