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Master Thesis Reliability (f/m/x)

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    ZEISS

  • Munkavégzés helye

    Németország
  • Munkaidő, foglalkoztatás jellege

    • Alkalmazotti jogviszony
    • Általános munkarend
  • Elvárt technológiák

    • NETWORK PYTHON MATLAB
  • Elvárások

    • Angol középfok
    • 1-3 év tapasztalat
    • Főiskola
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Responsibilities

Enabler for smaller, more powerful, and more energy-efficient microchips

Working for tomorrow today.

Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, they have become an integral part of our everyday lives – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS enables the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics.

Your Role

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.

  • Familiarize yourself with state-of-the-art methods in reliability modeling
  • Develop modeling approaches for load-driven degradation data
  • Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account
  • Validate and optimize the developed models through test runs and simulations
  • Prepare structured documentation of results and present key insights to the project team

Requirements

  • Enrolled in a degree program with excellent academic performance in mechanical engineering, electrical engineering, physics, mechatronics or a comparable field
  • Academic focus in technical reliability, modeling, data analysis / data science, or product development
  • Initial experience in reliability engineering and programming with Python or MATLAB
  • Basic knowledge of data science, modeling, and statistics is an advantage
  • Independent, solution-oriented and communicative working style

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).

Company info

As a student, you work with your colleagues on an equal footing and create ideal conditions for your future career.

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.

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.

Apply now! It takes less than 10 minutes.

How to apply

You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.

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