Research Intern – Computer vision

inspire AG is the leading Swiss competence centre for product innovation and advanced manufac-turing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from research to Swiss machine, electrical and metal industries.

Our research focuses on advancing intelligent monitoring and quality assurance in industrial manu-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder bed fusion (PBF) additive manufacturing of 3D parts. The project combines theoretical research with hands-on implementation on real industrial datasets and systems.

This position is ideal for candidates interested in applied machine learning and computer vision at the intersection of research and industrial deployment.

• Develop and implement state-of-the-art computer vision algorithms for anomaly detection
• Design multimodal learning approaches that fuse image data with time-series sensor data for monitoring powder bed fusion processes
• Develop and maintain research codebases for training, evaluation, and deployment of ma-chine learning models

Required Experience

• CH/EU/EFTA citizenship or a valid work permit for Switzerland
• Pursuing a master’s degree (university) in robotics, electrical or mechanical engineering, or CS
• Solid knowledge of computer vision and ML, particularly anomaly detection methods
• Experience with multimodal data (e.g., image + time series, sensor fusion) is a strong ad-vantage
• Strong programming skills in Python (e.g., PyTorch)
• Experience with data processing, visualization, and experimentation workflows
• Knowledge of additive manufacturing processes or industrial monitoring systems is a plus
• Good foundation in linear algebra, probability, and optimization
• Excellent knowledge (written/oral) of English is required;
  German is beneficial

Required people skills

• Highly self-organized and structured working style with strong problem-solving ability
• High motivation and willingness to learn new skills
• Team-oriented mindset with a positive attitude and creativity
• Ability to work independently while collaborating with multidisciplinary teams

We offer a full-time research internship within our group as part of our collaboration with the ICAMS group in St. Gallen. Through close cooperation with our research and industrial partners, you will gain hands-on experience with real-world manufacturing data and cutting-edge AI methods.

Please send your full application (cover letter, transcripts, CV, references) with reference “Re-search Intern – Computer Vision” to our HR department (hr).For technical questions, please contact Dr. Efe Balta (efe.balta) and Dr. Muhammad Zakwan (muhammad.zakwan).Applications received by March 30, 2026 will receive full attention.

Please note that we only accept applications submitted via (hr). Applications sent to other emails or postal services will not be considered.