← Back to roles

Internship Image-Based Measurement System

ETH Zurich

100%, Zurich, fixed-termPosted Oct 21, 2026
Apply on ETH Zurich

Overview

Open roles
131
At this company
See all
Added in 30 days
70
At this company, still open

Skills named in this posting

  • Python
  • PyTorch / TensorFlow
Internship – Image-Based Measurement System (6-12 months) 100%, Zurich, fixed-term print Drucken inspire AG is Switzerland’s leading competence center for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. Project background We are looking for a motivated intern to support the development of an industrial optical measurement system based on an existing functional prototype. The project combines mechanical design and CAD, optomechatronic system integration, repeatable image acquisition, and computer-vision-based image analysis. Job description Your Tasks • Develop the existing functional prototype into a robust, user-friendly measurement system suitable for use in an industrial shop-floor environment • Design and detail mechanical components in CAD, including the housing, camera and optics mounts, motorized focusing and rotary axes, and interchangeable fixtures • Integrate the optical, mechanical, motion, and control components into a standalone measurement unit and establish a standardized, repeatable image-acquisition procedure • Develop Python-based image-processing and annotation workflows and train and evaluate segmentation models for the automated detection and quantification of relevant visual features Profile Required experience • CH/EU/EFTA citizenship or valid Swiss work permit • BSc/MSc studies in Mechanical Engineering, Mechatronics, Robotics, Product Development, Electrical Engineering or a related field • Practical experience or strong interest in mechanical design and CAD. Experience with manufacturing drawings, prototyping, or design for manufacture is a plus • Programming and image-analysis skills, preferably in Python, and an interest in computer vision, image processing, or machine learning • Experience with cameras or microscopy, motion systems, PyTorch/TensorFlow, GUI development, or test-bench automation is a plusRequired people skills • Self-motivated, structured, and hands-on in mechanical design, laboratory work, software development, and shop-floor environments • Strong analytical mindset with careful and reliable experimental working habits • Comfortable working in interdisciplinary, industry-oriented teams • Good communication skills in English; French or German is a plus Workplace Workplace We offer This 6-12 month internship offers a unique opportunity to work across the complete development chain of an industrial optical measurement system: from mechanical design and CAD through system integration to image acquisition, computer vision, and validation. You will contribute directly to transforming an existing functional prototype into an industrial unit in our Zurich based Team. Curious? So are we. Please send your full application (cover letter, transcripts, CV, references) with reference ”Image-Based Measurement” to our HR department (hr@inspire.ch). For technical questions, please contact Dr. Sebastian Lang (sebastian.lang@inspire.ch) or Dr. Markus Maier (markus.maier@inspire.ch). Start date is 01.11.26 or by agreement. Please also visit our website.

Apply on the employer's site

Original posting: jobs.ethz.ch

Apply on ETH Zurich

RISC-V ecosystem

ETH Zurich in the RISC-V ecosystem

RISC-V International: Community

Founded in 1855, Swiss Federal Institute of Technology is a science, technology, mathematics, engineering, and management university in Zurich, Switzerland.

  • Designs RISC-V research processors: the Snitch RISC-V core (reported sixfold performance gains)
  • Ultra-low-power RISC-V clusters from its PULP-family research (e.g. Dustin 16-core cluster, in-memory-computing inference clusters)

Same employer

View all 131