Postdoc: Offshore USV–UUV Collaborative Control

The Faculty of Engineering and Science, Department of Energy, Esbjerg Energy Section; Esbjerg; On-site; DKK 420,000 - 540,000; Full time

Job summary

The Faculty of Engineering and Science, AAU Energy, Esbjerg Energy Section, invites applications for a 3-year Postdoc position working on collaborative control of tethered USV–UUV systems for offshore inspection. The role focuses on control architecture to manage strong tether dynamics and safe operation while enabling efficient offshore missions.

Applicants should hold a PhD in a relevant engineering field and bring expertise in control theory, MPC, estimation, and robotics.

Qualifications

• PhD degree in a relevant engineering field (e.g., control engineering, robotics, automation).
• Strong background in control theory, dynamic modelling and autonomous systems.
• Experience with robust control, MPC, nonlinear control, state estimation, trajectory tracking or multi-agent control.

Responsibilities

• Develop and validate control for tethered USV–UUV systems for offshore inspection.
• Investigate collaborative control and predictive coordination for two coupled vehicles.
• Contribute to modelling, simulation, and real-time experimentation.
• Publish results and collaborate with project partners and industrial collaborators.

Skills

Control theory

Dynamic modelling

Model Predictive Control

State estimation

Sensor fusion

Trajectory tracking

Path following

Multi-agent control

Robotics and autonomous systems

English communication

Education

PhD in control engineering / robotics

Tools

MATLAB/Simulink

Python

C++

ROS

Gazebo

Job description

The Faculty of Engineering and Science, AAU Energy, Esbjerg Energy Section, invites applications for a 3-year Postdoc position working on collaborative control of tethered USV–UUV systems for offshore inspection. The role focuses on control architecture to manage strong tether dynamics and safe operation while enabling efficient offshore missions.

Applicants should hold a PhD in a relevant engineering field and bring expertise in control theory, MPC, estimation, and robotics.