Kimmo Kansanen
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PhD Candidate in Distributed Machine Learning Norwegian University of Science and Technology in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Apr 24, 2026
Country
Norway
University
Norwegian Institute of Science and Technology

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About this position
The Norwegian University of Science and Technology (NTNU) invites applications for a PhD Candidate in Distributed Machine Learning within the Department of Electronic Systems, located in Trondheim, Norway. NTNU is Norway’s leading technical-scientific university, with a strong focus on professional education and research excellence. The position is part of the SURE-AI national AI centre, a major initiative funded by the Research Council of Norway (2025-2030) to advance efficient, transparent, and safe artificial intelligence. SURE-AI brings together 19 Norwegian partners and researchers from 15 international institutions, fostering interdisciplinary collaboration and innovation in AI.
The PhD project focuses on distributed machine learning, leveraging communication and distributed computing to utilize distributed datasets and computational resources. The research aims to address challenges such as network outages and computational bottlenecks, making distributed machine learning robust and scalable. The candidate will participate in SURE-AI project activities, contribute to academic publications and popular science dissemination, and engage with the signal processing group. International activities, including conferences and research stays, are encouraged.
Applicants must hold a relevant Master’s degree (electronics, mathematics, data science, communication technology, or equivalent) corresponding to a five-year Norwegian course with 120 credits at the master’s level. Master students may apply if the degree is completed before 30.10.2026. A strong mathematical background, research-oriented master thesis, and an average grade of B or better (NTNU scale) are required. Admission to the Doctoral Programme in Electronics and Telecommunication is mandatory, and good oral and written English skills are essential. Preferred qualifications include experience in scientific publishing, machine learning (especially distributed), coding and information theory, and communication networks and protocols.
The position offers a gross annual salary of NOK 550,800, with a 2% statutory contribution to the State Pension Fund, and membership in the Norwegian Public Service Pension Fund (SPK). Additional benefits include free basic Norwegian language training, career guidance, and a supportive, inclusive work environment. The employment period is three years, with the possibility of career promotion work. NTNU values diversity and aims to reflect the broader society in its workforce, promoting equality and inclusion.
To apply, candidates must submit their application electronically via Jobbnorge.no, including transcripts and diplomas, CV, copy or draft of Master’s thesis, motivation letter, publications, certificates, and contact information for three referees. All documents must be in Norwegian, a Scandinavian language, or English. Applications are assessed only on information received by the deadline. For questions about the position, contact Prof. Kimmo Kansanen at [email protected]. The application deadline is 24 April 2026.
Trondheim offers a vibrant cultural scene, excellent welfare services, and opportunities for education, nature, and family life. NTNU’s Department of Electronic Systems is a leader in fields such as nanoelectronics, phototonics, signal processing, radio technology, acoustics, satellite technology, and autonomous systems, contributing to national challenges in transport, energy, environment, and health.
Funding details
Available
What's required
Applicants must have a relevant Master's degree in electronics, mathematics, data science, communication technology or equivalent, corresponding to a five-year Norwegian course with 120 credits at master's level. Master students may apply if the degree is completed before 30.10.2026. A strong mathematical background and research-oriented master thesis are required. Applicants must have an average grade of B or better on the NTNU grading scale, or equivalent academic foundation. Weaker grade backgrounds may be considered if suitability for PhD education is documented. Admission to the Doctoral Programme in Electronics and Telecommunication is required. Good oral and written English skills are mandatory. Preferred criteria include experience in scientific publishing, machine learning (especially distributed), coding and information theory, and communication networks and protocols.
How to apply
Submit your application electronically via Jobbnorge.no, including transcripts and diplomas, CV, copy or draft of Master's thesis, motivation letter, publications, certificates, and contact information for three referees. Ensure all documents are in Norwegian, a Scandinavian language, or English. Applications are assessed only on information received by the deadline.
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