Internship in AR for Industrial Part Detection and Order Tracking (F/M/D)

CSEM SA; Alpnach; Vor Ort; CHF 17.000 - 21.000; Teilzeit

Zusammenfassung

CSEM SA in Alpnach, Switzerland invites motivated students to join a six-month on-site internship to develop an augmented reality system for detecting and identifying parts on an industrial shop floor. The project blends computer vision, object tracking, and 3D visualization to present relevant part information through AR, aiming for a validated PoC tested in real conditions.

Ideal candidates are pursuing a Bachelor's or Master's in CS/EE/Robotics with Python and CV skills, familiar with AR

Qualifikationen

• Pursuing Bachelor’s or Master’s with focus on CV/AR
• Strong Python and CV knowledge
• Experience with AR frameworks beneficial

Aufgaben

• Define system requirements and industrial use cases with the team
• Test AR hardware and libraries
• Set up an experimental environment with industrial parts
• Acquire and annotate image/video data for detection and identification
• Develop and evaluate CV methods for part detection
• Design an AR interface to visualize part information
• Assess robustness under viewpoint, lighting, occlusion, and background changes
• Develop a proof-of-concept demonstrator and validate in realistic experiments
• Document implementation and results and communicate findings to the Predictive Analytics team
• Assist the team with various tasks

Kenntnisse

Python

Computer vision

AR concepts

3D graphics

ML frameworks

Git

Linux

English

German advantageous

Ausbildung

Bachelor's/Master's in CS/EE/Robotics

Tools

AR development frameworks

Camera geometry

Jobbeschreibung

Facing the challenges of our time

Help us grow and be more impactful!

The Predictive Analytics group is offering a student project or internship focused on developing an augmented reality system for detecting and identifying parts on an industrial shop floor.

The proposed system will combine computer vision, object tracking, and 3D visualization to recognize parts in the worker’s environment and present relevant information directly through an augmented reality interface. Depending on the available production data, the displayed information may include part category, quantity and customer-order associated with the detected parts

The system will support workers in locating and counting parts, tracking customer orders, and collecting the information required.. The project will investigate different hardware and algorithmic options for robust detection and identification under realistic shop-floor conditions, including changes in viewpoint, lighting, occlusion, part arrangement, and background.

The final outcome will be a validated proof-of-concept demonstrator that integrates visual perception, part tracking, data retrieval, and an intuitive augmented reality visualization.

The project is intended for a minimum duration of six months and requires regular on-site work in Alpnach, Switzerland.

Your responsibilities

• Define the system requirements and representative industrial use cases together with the project team.
• Test a variety of different AR hardware and libraries
• Set up and document an experimental environment with representative industrial parts and shop-floor conditions.
• Acquire and annotate image or video data for part detection, tracking, and identification.
• Develop and evaluate computer-vision methods for detecting industrial parts.
• Design an augmented reality interface that visualizes part information clearly.
• Assess robustness under changes in viewpoint, lighting, occlusion, part arrangement, and background.
• Develop a proof-of-concept demonstrator and validate it through realistic industrial experiments.
• Document the implementation and results and communicate findings to the Predictive Analytics team.
• Assist the team with various tasks.

Your profile

Bachelor's or Master's studies in Computer Science, Data Science, Electrical Engineering, Robotics, Mechanical Engineering, Microengineering, or a related field, with a focus on computer vision, augmented reality, or interactive systems.

Know-how

• Strong programming skills in Python
• Good knowledge of computer vision, particularly object detection, tracking, and identification
• Familiarity with augmented reality concepts and development frameworks
• Knowledge of 3D computer graphics, coordinate systems, camera geometry, and visualization
• Experience with machine-learning or deep-learning frameworks
• Familiarity with cameras, sensors, or AR hardware is an advantage
• Familiarity with Git and Linux is an advantage
• Interest in hands-on industrial experimentation and user-oriented system development
• Strong English communication skills; German is an advantage

Interpersonal skills

• Driven and motivated
• Practical, hands-on working style
• Good communication skills
• Highly collaborative
• Flexible and adaptable thinking and operating style

CSEM mission and values

We believe in a future that is imagined, shared, and created TOGETHER.

At CSEM, we don’t just innovate, we envision technologies that shape tomorrow.

Since 1984, our purpose has remained constant: to harness science and technology for the benefit of society. Today, with over 650 people across Switzerland, we remain committed to our mission: to develop and transfer world-class solutions in digital technologies, precision manufacturing, and sustainable energy systems. In doing so, we empower Swiss industry to innovate and remain competitive.

Our strength is the excellence of our people. We believe that strong values support the successful development of our organization as well as the harmonious and balanced development of all our employees.

We are

• A unique place between research and industry at the cutting edge of new technologies
• An innovative, non-profit, and employee-driven company
• A dynamic, multidisciplinary, and multicultural environment
• A solar team focused on enabling solutions to energy challenges for a sustainable world

Working@CSEM means

• Being part of a passionate community.
• Incredible flexibility, attractive working conditions, and great opportunities of development.
• Benefit from a management style based on trust & feedback and that favors a work-life balance.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity.