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PhD Candidate in Robotics and Intelligent Mechatronic Systems for Automated In Vitro Platforms

NTNU SENTRALADMINISTRASJONEN

Noruega📅 17/9/2026

Descripción

This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. Video: https://www.youtube.com/watch?v=_KHQjc4ndas&t=41s About the position Are you motivated to develop next-generation research infrastructure at the intersection of robotics, mechatronics, sensor systems, and life science technology? We have a vacancy for a PhD Candidate at the Department of Mechanical and Industrial Engineering, NTNU, connected to the industrial research project vitro.scale in collaboration with Vitroscope AS and SINTEF. The project aims to develop an automated high-throughput platform for physiologically relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and artificial intelligence. The successful candidate will become part of a multidisciplinary environment with expertise in product development, robotics, automation, digitalization, and biomedical technologies. The PhD will contribute directly to the development of technologies that may accelerate drug discovery, personalized medicine, and the transition toward advanced animal-free testing methods. Your immediate leader will be the Head of Department. About the project The PhD position is funded through the Research Council of Norway Innovation Project vitro.scale, led by Vitroscope AS in collaboration with SINTEF and NTNU. The project aims to develop an AI-enabled automated platform capable of operating and monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NT
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