PhD Position in Machine Learning and IoT Systems at NTNU Norwegian University of Science and Technology in Norway

A fully funded PhD position is available at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, focusing on Machine Learning for Energy-Constrained IoT Systems. The project is conducted in close collaboration with Mid Sweden University and aims to deploy intelligent machine learning methods on ultra-low-power IoT devices. Research topics include Edge AI, sustainable systems, and smart infrastructure, making this an excellent opportunity for candidates interested in the intersection of artificial intelligence, embedded systems, and energy efficiency.

The position is ideal for students with a background in machine learning, computer science, electrical engineering, or related fields. Experience with IoT systems, edge computing, or energy-efficient computing is highly valued. The working language is English, and applicants should demonstrate strong communication skills.

The PhD is fully funded, covering tuition and providing a stipend. The research will be carried out at NTNU, one of Norway's leading technical universities, with opportunities for collaboration with Mid Sweden University. The project addresses real-world challenges in deploying AI on resource-constrained devices, contributing to the development of sustainable and smart infrastructure.

Interested candidates should apply through the official NTNU job portal. The application process requires submission of a CV, cover letter, and supporting documents as outlined on the NTNU website. For more information and to apply, visit the official job posting link provided.