Deadline: As soon as possible
Location(s)
Germany
Overview
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
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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
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a strong understanding of diffusion models
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general expertise in algorithms, preferably with a focus on reconstruction problems
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a solid programming background in Python and hands-on experience with machine learning frameworks such as PyTorch or Tensorflow
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high motivation, creativity, flexibility, and a structured and independent way of working
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effective communication and presentation skills
Dates
Deadline: As soon as possible
Cost/funding for participants
Internships, scholarships, student conferences and competitions.