ZEISS - Internship in machine learning research

Deadline: As soon as possible

Internships

Companies

Location(s)

  • Germany
Oberkochen, Jena

Overview

Want to drive the next generation of intelligent products?

Details

We are seeking passionate and talented students who want to make an impact by helping to develop next generation products and innovative machine learning algorithms at ZEISS.

Integrated in a fast-growing team of scientists and research engineers, you will work (for at least 3 months) on helping us to develop core algorithms and taking academic ideas into working prototypes.

About us

Step out of your comfort zone, excel and redefine the limits of what is possible. That’s just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.

Join us today. Inspire people tomorrow.

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate

Your Profile

  • a bachelor’s degree in computer science, mathematics, physics, or related fields with an outstanding study record, and are currently enrolled in a master’s program

  • a strong understanding of diffusion models

  • general expertise in algorithms, preferably with a focus on reconstruction problems

  • a solid programming background in Python and hands-on experience with machine learning frameworks such as PyTorch or Tensorflow

  • high motivation, creativity, flexibility, and a structured and independent way of working

  • effective communication and presentation skills


Dates

Deadline: As soon as possible


Cost/funding for participants

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