Third-cycle subject: Computer Science
Autonomous Adaptive Underwater Sampling and Reconnaissance (AUSAR)
An Autonomous Underwater Vehicle (AUV) is often used as an alternative to human divers or remotely controlled vehicles when there is a need to gather information under water. Examples of such missions include investigating sources of oil spills, tracking boundaries of algae blooms, mapping the extent of methane seeps on the seafloor, searching for mines or investigating damages on underwater cables.
In this project we will study control and decision making for autonomous AUVs performing such sampling and reconnaissance missions in an adaptive way. The objective in all examples above is to collect data of some sort, and this collection should be adaptive in the sense that the AUV acts in response to the data it senses, the environment around it, and the state of the vehicle itself. For example, the collected data might indicate an unexpected item or region of interest from which additional high resolution data is needed, an unforeseen obstacle might block the intended path, or the current internal localization error might be large enough to render the data useless, requiring the vehicle to first improve localization and then continue collecting data. In all these cases, the AUV must adapt to the new situation and act accordingly to successfully complete the mission. This project is a part of the Swedish Maritime Robotics Center (SMaRC).
Supervision: Prof. Petter Ögren
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
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Target degree: Doctoral degree
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Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary according to KTH's doctoral student salary agreement |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | PA-2025-0401 |
Contact |
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Published | 13.Feb.2025 |
Last application date | 06.Mar.2025 11:59 PM CET |