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Internship - Machine Learning for Computer Vision (f/m/x)

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ZEISS Group

1mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development

AI generated summary

  • You must be enrolled in a relevant master’s program, have experience in machine learning and computer vision, proficiency in Python, strong analytical skills, and the motivation to work in teams.
  • You will classify medical waste and x-ray images using machine learning, develop algorithms for recycling, and apply Python to solve challenges at the intersection of technology, healthcare, and sustainability.

Requirements

  • You are enrolled in a master’s program in computer science, mathematics, physics, or a related field, and have excellent academic results (please include transcripts with your application)
  • Demonstrated experience in machine learning and computer vision (through coursework, projects, or internships)
  • Proficiency in Python (or similar languages established for machine learning)
  • Strong analytical, problem-solving, and communication skills (in English and/or German)
  • A passion for innovation and a desire to apply theoretical knowledge to practical challenges
  • High intrinsic motivation and the desire to work in interdisciplinary teams

Responsibilities

  • Engage in pioneering research aimed at classifying and quantifying medical waste through advanced machine learning techniques.
  • Work on the classification of x-ray images using machine learning algorithms.
  • Gain experience with Python (or other relevant programming languages) for machine learning tasks.
  • Develop transferable technical skills in machine learning and data analysis.
  • Be challenged to creatively solve problems and contribute to the project's objectives.
  • Develop algorithms that could enable recycling opportunities and influence regulatory decisions.
  • Experience the intersection of technology, healthcare, and environmental sustainability.

FAQs

What is the focus of the internship project?

The internship project focuses on classifying and quantifying medical waste using advanced machine learning techniques, with the aim of improving medical waste management and contributing to recycling opportunities.

What technical skills will I develop during the internship?

You will gain experience in Python (or other relevant programming languages) for machine learning tasks, as well as develop skills in machine learning and data analysis.

Is mentorship provided during the internship?

Yes, you will receive direct mentorship from experienced professionals in the field.

What type of team will I be working with?

You will work with a dynamic and interdisciplinary team, providing opportunities for collaboration and knowledge exchange.

What is the educational requirement for this internship?

You must be enrolled in a master’s program in computer science, mathematics, physics, or a related field, and have excellent academic results.

Are there language requirements for this position?

Strong communication skills in English and/or German are required.

How does this project contribute to real-world impact?

The project aims to enhance understanding of medical waste management, promote recycling opportunities, and inform regulatory decisions regarding medical waste disposal.

Can I include my transcripts with my application?

Yes, please include your academic transcripts with your application to demonstrate your qualifications.

What qualities are sought in a candidate for this internship?

Candidates should have a passion for innovation, strong analytical and problem-solving skills, high intrinsic motivation, and a desire to work in interdisciplinary teams.

Will I have networking opportunities during the internship?

Yes, you will have access to a vibrant student community for networking and support throughout your internship.

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ZEISS Group

Manufacturing & Electronics
Industry
10,001+
Employees
1846
Founded Year

Mission & Purpose

ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (status: 30 September 2023). With around 43,000 employees, ZEISS is active globally in almost 50 countries with around 30 production sites, 60 sales and service companies and 27 research and development facilities (status: 30 September 2023). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG.