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 machine learning and embedded systems. The position is based in Trondheim, Norway, and offers the chance to work in a leading research environment. Applicants should have a strong background in computer science, machine learning, or related fields, with experience in IoT systems, embedded devices, or Edge AI considered a significant advantage. Candidates must fulfill NTNU's PhD admission requirements, which typically include a relevant master's degree and proficiency in English. This PhD position is fully funded, covering tuition fees and providing a stipend or salary according to NTNU regulations. For more details on the funding and application process, refer to the official job posting. The project is highly relevant for those interested in sustainable technology and the future of smart infrastructure. To apply, candidates should visit the NTNU job portal and submit their application following the provided guidelines. The application should include a CV, cover letter, and any other required documents. For further information, see the official job posting or contact the announcer via LinkedIn.

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.