ZEISS
Working Student Data Analytics (f/m/x)
Germany · Work style not stated · Part time
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerZEISS
- LocationGermany
- Work styleWork style not stated
- Employment typePart time
- Employer posted
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. In this role, you will contribute to diagnostic and monitoring solutions for state-of-the-art lithography systems that form the basis of modern semiconductor manufacturing. Your responsibilities may include:
Show full description
- Contributing to the development and assessment of diagnostic and monitoring concepts for lithography systems, learning how to analyze complex technical systems in a structured way
- Analyzing field data from installed systems and deriving insights from it
- Supporting the creation of business cases to evaluate the costs and benefits of new solutions and enable well-founded decisions
- Researching and identifying innovations that can be incorporated into our solutions
- Preparing your results and presenting them to the project team
Your Profile
- Ongoing studies in mechanical engineering, electrical engineering, physics, mechatronics, or a comparable field
- Strong academic performance and interest in topics such as diagnostics, monitoring, AI, or data science
- High motivation to familiarize yourself with new topics
- Ideally, programming experience in Python or MATLAB
- An independent, solution-oriented and communicative working style, and enjoyment of working in interdisciplinary teams
Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).
Your ZEISS Recruiting Team:
Verena Hald
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
At a glance
- Employment typePart time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.