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 research will be conducted in close collaboration with Mid Sweden University. The project aims to develop and deploy intelligent machine learning methods on ultra-low-power IoT devices, with applications in Edge AI, sustainable systems, and smart infrastructure. This opportunity is ideal for candidates interested in the intersection of machine learning, embedded systems, and energy-efficient computing.

Applicants should have a strong background in computer science, machine learning, or related fields, and experience with IoT systems or embedded devices is highly desirable. The position is fully funded, covering tuition and providing a stipend according to NTNU regulations. The research environment at NTNU offers access to state-of-the-art facilities and collaboration with leading experts in the field. The application process is managed through the NTNU job portal, and candidates are encouraged to prepare a comprehensive CV, cover letter, and supporting documents. For more details and to apply, visit the official job posting link provided.