PhD Position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles

Aalborg University; Aalborg Kommune; Sur place; DKK 312 000 - 402 000; Plein temps

Résumé du poste

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

Responsabilités

• 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

Connaissances

Time-series

Stochastic processes

Statistical learning

Uncertainty quantification

Engineering collaboration

Formation

Master's degree

Description du poste

PhD Position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles

Your work tasks
The project will focus on the development of probabilistic and data-driven methods for autonomous underwater vehicles (AUV’s). The work builds on a strong foundation in time-series modelling, stochastic processes, statistical learning, and uncertainty quantification, with applications in underwater robotics and maritime technology.

A central part of the project is the development of interpretable probabilistic models for changes in vehicle behaviour and operational regimes under varying environmental conditions, including short-horizon forecasting. The work involves trajectory, navigation, control, and sensor data from underwater robotic platforms, including AUVs and remotely operated vehicles (ROV’s), and connects the statistical methodology with underwater localization, subsea sensing, vehicle dynamics, and autonomous systems.

The position is highly interdisciplinary and combines mathematical and statistical modelling with sensing technologies, underwater engineering, and autonomous maritime systems, with the overall aim of improving the reliability and robustness of autonomous underwater operations.

During the PhD studies, you will also be expected to perform teaching tasks – e.g. lecturing or project supervision – at the Department of Mathematical Sciences.

Your competencies
Based on the research tasks tied to the position, we seek a candidate who has a strong background in time-series modelling, stochastic processes, statistical learning, and uncertainty quantification, having in mind applications in underwater robotics and maritime technology. A documented previous history of collaboration with engineers is a plus.

The candidate should be able to communicate clearly in both written and spoken English. As part of the position, you are expected to participate in workshops and conferences to present your results to fellow researchers and build up an international network. Furthermore, you should be willing to complete a stay abroad once during the PhD studies in order to strengthen your profile as a researcher.

Qualification requirements
PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time. As part of the PhD study, you are among other things required to complete PhD courses corresponding to 30 ECTS, gain experience with teaching or other forms of knowledge dissemination and complete an external research stay outside of Aalborg University, preferably 3-6 months at a foreign research institution.

Who we are
The PhD position will be hosted at the Department of Mathematical Sciences under the supervision of Associate Professor J. Eduardo Vera-Valdés. Some of the activities will be done in collaboration with the Underwater Technology research group with Esbjerg Energy Section.

Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position.
Do you have any questions?
If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost.

Further information
Read more about our recruitment process here.

The assessment of candidates for the position will be carried out by qualified experts.
Shortlisting will be applied. This means that after the application deadline, the head of the department, with the assistance of the hiring committee, will select the applicants to be assessed. All applicants will be informed whether they have been shortlisted for assessment or not.

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace.

Salary and terms of employment
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities and the Ministerial Order on Job Structure for Academic Staff at Universities. Furthermore, your terms of employment and salary are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement).

There is a mutual probationary period of 3 months for the position.

Aalborg University - Knowledge for the world
Aalborg University is an international workplace with more than 3,700 employees. We offer real-world-oriented education and create world-class research results through collaboration between researchers, students, and public and private companies. This is how we achieve insights, new solutions to societal problems, and knowledge that changes the world. Our main campus is in Aalborg, but we also have campuses in Esbjerg and Copenhagen.