Publisher
source

Imran Sarwar

4 months ago

Fully Funded PhD Position in Machine Learning and IoT at NTNU, Norway Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Norway

University

Norwegian Institute of Science and Technology

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Keywords

Computer Science
Internet Of Things
Machine learning

About this position

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.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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