PhD: Data-Driven Math for Underwater Autonomous Vehicles

Aalborg University; Aalborg Kommune; On-site; DKK 312,000 - 402,000; Full time

Job summary

Aalborg University invites applications for a PhD position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles. The project focuses on probabilistic and data-driven modeling for AUVs, with strong ties to time-series, stochastic processes, and uncertainty quantification.

Collaboration with engineers is encouraged and international engagement is expected. The position involves interdisciplinary research spanning sensing, ocean engineering, and autonomous maritime systems,

Qualifications

• Master's degree required
• Strong background in time-series modelling, stochastic processes, statistical learning and uncertainty quantification
• Willingness to collaborate with engineers and participate in teaching activities

Responsibilities

• Develop probabilistic and data-driven methods for AUVs
• Create interpretable models for vehicle behaviour under varying environments
• Engage in teaching tasks such as lecturing or supervision at the Department of Mathematical Sciences

Skills

Time-series

Stochastic processes

Statistical learning

Uncertainty quantification

Engineering collaboration

Education

Master's degree

Job description

Aalborg University invites applications for a PhD position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles. The project focuses on probabilistic and data-driven modeling for AUVs, with strong ties to time-series, stochastic processes, and uncertainty quantification.

Collaboration with engineers is encouraged and international engagement is expected. The position involves interdisciplinary research spanning sensing, ocean engineering, and autonomous maritime systems,