PhD in Data-Driven Math for Autonomous Underwater Vehicles

The Faculty of Engineering and Science, Department of Mathematical Sciences, Section of Statistics a; Aalborg; On-site; DKK 290,000 - 350,000; Full time

Job summary

The PhD position at Aalborg University’s Faculty of Engineering and Science, Department of Mathematical Sciences, Section of Statistics and Mathematical Economics, focuses on data-driven probabilistic methods for autonomous underwater vehicles. Research covers time-series modelling, stochastic processes, statistical learning, and uncertainty quantification with maritime applications.

Candidates will engage in interdisciplinary work spanning sensing, underwater robotics, and autonomous maritime

Qualifications

• Strong background in time-series modelling, stochastic processes, statistical learning, and uncertainty quantification.
• Collaborations with engineers are a plus.
• Clear communication in English, both written and spoken.

Responsibilities

• Perform teaching tasks during PhD studies, e.g., lecturing or project supervision.
• Engage in interdisciplinary research at the intersection of mathematics, statistics, sensing technologies, and underwater systems.

Skills

Time-series modelling

Stochastic processes

Statistical learning

Uncertainty quantification

Education

Master's degree

Job description

The PhD position at Aalborg University’s Faculty of Engineering and Science, Department of Mathematical Sciences, Section of Statistics and Mathematical Economics, focuses on data-driven probabilistic methods for autonomous underwater vehicles. Research covers time-series modelling, stochastic processes, statistical learning, and uncertainty quantification with maritime applications.

Candidates will engage in interdisciplinary work spanning sensing, underwater robotics, and autonomous maritime