Industrial ML & Signal Processing PhD Candidate

Norwegian University of Science and Technology (NTNU); Trondheim; On-site; NOK 496,000 - 606,000; Full time

Benefits offered by this job

SPK pension

Norwegian language training

Career guidance

International collaboration

Job summary

NTNU in Trondheim invites applications for a PhD Candidate position linked to the LAIFA project, focusing on reconstructing flow with physics-informed neural networks and transfer learning. The role offers a 3-year contract (4-year with 25% duties) and affiliation with BRU21, IoT@NTNU, and Open AI Lab.

The successful candidate will pursue doctoral education, perform research in signal processing and machine learning, and participate in international collaborations while meeting English language

Qualifications

• Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or related field.
• Average grade equal to B or better on NTNU scale; documented before start.
• Admission to the faculty's Doctoral Programme in Electronics and Telecommunication must be met.

Responsibilities

• Complete the doctoral education until obtaining a doctorate.
• Carry out high-quality research within the project scope.
• Publish academic work and disseminate results to broad audiences.
• Participate in the Signal Processing research group.
• Engage in international conferences or research stays.
• Provide teaching assistance if on 4-year contract.

Skills

Mathematics

Programming

English proficiency

Python

Education

Master's degree

Tools

Python

Job description

NTNU in Trondheim invites applications for a PhD Candidate position linked to the LAIFA project, focusing on reconstructing flow with physics-informed neural networks and transfer learning. The role offers a 3-year contract (4-year with 25% duties) and affiliation with BRU21, IoT@NTNU, and Open AI Lab.

The successful candidate will pursue doctoral education, perform research in signal processing and machine learning, and participate in international collaborations while meeting English language