PhD Candidate in Arctic Ocean Data Fusion & AI

Norges teknisk-naturvitenskapelige universitet (NTNU); Trondheim; On-site; NOK 496,000 - 606,000; Full time

Benefits offered by this job

Open and inclusive environment

PhD student benefits

Job summary

Norges teknisk-naturvitenskapelige universitet (NTNU) invites applications for a PhD Candidate position within the Arctic Ocean 2050 project. The successful candidate will contribute to risk-informed data fusion and data assimilation while pursuing doctoral education in collaboration with DNV and Nansen Center.

The role emphasizes cross-disciplinary research, publications, and participation in international activities, with a strong focus on environmental data, AI analytics, applied mathematics

Qualifications

• Master's degree in marine technology, remote sensing, physics or applied mathematics, and data science; degree must be documented before starting the position.
• Strong academic record with an average grade from Master’s studies equal to B or better on NTNU’s grading scale, or an equally good foundation if letter grades are unavailable.
• Admission to the faculty's Doctoral Programme is required.

Responsibilities

• Complete the doctoral education and obtain a doctorate.
• Carry out high-quality research within the Arctic Ocean 2050 framework.
• Publish academic work and disseminate results.
• Participate in the Arctic Hive Mind and Risk, Safety and Asset Management groups.
• Engage in international activities such as conferences and research stays at foreign institutions.
• Engage in career-promoting networking and related activities.

Skills

Control engineering

Information fusion

Data assimilation

Marine technology

Machine learning

Python

Education

Master's degree in marine technology/remote sensing/physics/applied mathematics/data science

Tools

Python

PyTorch

Job description

Norges teknisk-naturvitenskapelige universitet (NTNU) invites applications for a PhD Candidate position within the Arctic Ocean 2050 project. The successful candidate will contribute to risk-informed data fusion and data assimilation while pursuing doctoral education in collaboration with DNV and Nansen Center.

The role emphasizes cross-disciplinary research, publications, and participation in international activities, with a strong focus on environmental data, AI analytics, applied mathematics