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PhD Candidate in Machine Learning & Signal Processing for Industrial Applications

September 10, 2025

**Job Description**
The Department of Electronic Systems at NTNU invites applications for a PhD Candidate position focusing on Machine Learning & Signal Processing for Industrial Applications. This position is part of the LeDAS project, funded by the Research Council of Norway and in collaboration with several industry and research partners. The project aims to develop and integrate signal processing and machine learning methodologies to interpret distributed acoustic sensing (DAS) data from production wells, with primary applications in virtual flow metering and well inflow. Key research tasks include feature identification and selection for robust and trustworthy models. The successful candidate will complete doctoral education, conduct high-quality research, contribute to academic publications and dissemination, and participate in the Signal Processing research group and international activities.

**Skills & Abilities**
• Good oral and written presentation skills in English (equivalent to C1 level)
• Strong mathematical background
• Research-oriented master thesis in a related field (e.g., signal processing, statistical machine learning, applied mathematics)
• Significant experience with programming in Python
• Experience in process monitoring (preferred)
• Publication activity in the aforementioned disciplines (preferred)
• Good oral and written presentation skills in Norwegian/Scandinavian (equivalent to B1 level, preferred)
• Ability to work in a structured way, set goals, and make plans
• Ability to present and discuss research with other professionals
• Ability to get involved and contribute constructively with feedback
• Ability to work constructively under pressure or in the face of adversity
• Show curiosity and a strong motivation for the subject

**Qualifications**
Required Degree(s) in:
• Electrical Engineering
• Computer Science
• Applied Mathematics
• Equivalent related relevant disciplines
Other:
• Master’s degree corresponding to a five-year Norwegian course, with 120 credits obtained at master’s level
• Meet the requirements for admission to the PhD Program in Electronics and Telecommunication
• Average grade from Master’s degree study (or equivalent education) equal to B or better compared to NTNU’s grading scale

**Experience**
Other:
• An average grade from Master’s degree study, or equivalent education, which is equal to B or better compared to NTNU’s grading scale.
• Candidates with a weaker grade background may be considered if they can document exceptional suitability for a PhD education.

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Experience
Other: • An average grade from Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. • Candidates with a weaker grade background may be considered if they can document exceptional suitability for a PhD education.
Work Level
Ph.D
Employment Type
Scholarship
Salary
Annual Salary: NOK 550,800 Benefits: Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK), access to employee benefits
Valid Until
October 10, 2025
Details
Full-time Temporary Duration: 3 years (or 4 years with 25% work assignments for the Department) Remote Work: No Location Requirement: Relocation to Porsgrunn could be considered if desired Campus-based in Trondheim
School / Department / Center / Lab
• Department of Electronic Systems • BRU21 • IoT@NTNU • Norwegian Open AI lab • Faculty of Information Technology and Electrical Engineering
Supervisor(s)
Professor Pierluigi Salvo Rossi
Supervisor Email
pierluigi.salvo.rossi@ntnu.no
Norwegian University of Science and Technology (NTNU)
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