Research Scientist (m/w/x) AI-Driven Transformation of Optical System Development

Carl Zeiss AG

Oberkochen

On-site

EUR 85,000 - 110,000

Full time

4 days ago
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Job summary

Carl Zeiss AG seeks a researcher to shape the next generation of optical system development within the ZEISS Innovation Ecosystem. You will develop AI-driven workflows, merge modeling, simulation, data analytics, and machine learning, and advance toolchains for complex system design in collaboration with internal and external partners.

Ideal candidates hold a PhD and have a strong background in optics, simulation, ML, or scientific computing, with hands-on software experience in Python, C++,

Qualifications

  • PhD in Physics, Computer Science, or a related field.
  • Strong background in optics, simulation, machine learning, or scientific computing.
  • Experience in software development with Python, C++, MATLAB or similar.

Responsibilities

  • Develop and implement AI-driven workflows for optical system design.
  • Combine modeling, simulation, data analytics, and machine learning to enable efficient design processes.
  • Contribute to modern software and toolchains for advanced system development.
  • Collaborate with interdisciplinary teams and partners across the ZEISS Innovation Ecosystem.
  • Support holistic system design from physical modeling to data-driven decision-making.
  • Transfer cutting-edge research results into industrial applications.

Skills

PhD required
Optics / Simulation
ML / Scientific computing
Software development
Interdisciplinary work
Analytical thinking

Education

PhD in Physics or Computer Science

Tools

Python
C++
MATLAB

Job description

Your Role

You are passionate about cutting-edge research and motivated to shape the next generation of optical system development? In this role, you will make a key contribution to transforming classical engineering approaches into modern model-, data-, and AI-driven workflows. You will be part of a highly innovative team within the ZEISS Innovation Ecosystem, working closely with internal and external partners to develop forward-thinking methods, tools, and processes for holistic system design.

Your Responsibilities
  • Develop and implement AI-driven workflows for optical system design
  • Combine modeling, simulation, data analytics, and machine learning to enable efficient design processes
  • Contribute to modern software and toolchains for advanced system development
  • Collaborate with interdisciplinary teams and partners across the ZEISS Innovation Ecosystem
  • Support holistic system design from physical modeling to data-driven decision-making
  • Transfer cutting-edge research results into industrial applications
Your Profile
  • PhD in Physics, Computer Science, or a related field
  • Strong background in at least one of the following areas: optics, simulation, machine learning, or scientific computing
  • Experience in software development (e.g., Python, C++, MATLAB)
  • Interest in interdisciplinary challenges and complex systems
  • Structured and independent working style combined with strong teamwork skills
  • Excellent analytical thinking and enthusiasm for innovation

Your ZEISS Recruiting Team: Friederike Kirklar-Harms, Selina Riccio

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.

Diversity is a part of ZEISS.

We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

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