Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Research Opportunities
Apply now View Formal Call
Research Opportunities

Underwater robotics, acoustic signal processing

Work description

Study existing passive acoustic detection methodologies and tracking algorithms in underwater environments. Analyze the physics of underwater acoustic propagation, including effects such as refraction, absorption, and background noise. Identify acoustic sensor network architectures (hydrophones, linear arrays, distributed arrays, etc.) and their data models. Implement passive and active detection algorithms based on cross-correlation, beamforming, or other methods. Estimate Time Difference of Arrival (TDOA), Direction of Arrival (DOA), and fusion of data from multiple receivers. Develop multi-target tracking techniques (e.g., extended Kalman filters, particle filters, or Multiple Hypothesis Tracking). Simulate moving mobile acoustic sources. Evaluate the robustness of algorithms to noise, multipath, etc. Define and evaluate performance metrics: location accuracy, detection rate, computational consumption, etc. Integrate the algorithms into a real-time system (on-board hardware or ground station). Conduct test campaigns in a controlled environment (tank) and in the open sea. Calibrate and validate the system with known (ground truth) and unknown sources.

Academic Qualifications

Degree in Electrical Engineering or related field

Minimum profile required

Programming experience, basic knowledge of dynamic/control systems, undergraduate grade greater than or equal to 15 (scale from 0 to 20).

Preference factors

Previous experience in underwater robotics or acoustic signal processing.

Application Period

Since 24 Jul 2025 to 06 Aug 2025

Centre

Robotics and Autonomous Systems

Scientific Advisor

Bruno Miguel Ferreira