Acústica subaquática
Work description
The training associated with the scholarship will enable the fellow to gain advanced experience in digital signal processing, underwater acoustics, estimation theory, localization based on time-difference-of-arrival (TDOA), and data analysis from distributed acoustic sensing (DAS) systems. Special attention will be paid to developing methods for the efficient detection of acoustic events, reducing the volume of data to be communicated and processed, robust TDOA estimation, and acoustic source localization in complex environments. The work will also provide experience in processing data obtained from DAS systems and solving inverse problems related to estimating the geometry of instrumented submarine cables. The work plan will include the following activities: Study of the operating principles of discrete hydrophones and Distributed Acoustic Sensing (DAS) systems, as well as the characteristics of the acquired signals; Characterization of underwater acoustic sources, including vessels, marine mammals, impulsive sources, and calibration sources; Study of acoustic propagation phenomena in underwater environments and their impact on detection and localization; Development and implementation of algorithms for filtering, detection, and temporal segmentation of acoustic signals; Evaluation of the impact of selecting the interval of interest on data volume reduction and the performance of localization algorithms; Implementation and validation of cross-correlation and generalized cross-correlation techniques to estimate time differences of arrival; Development and evaluation of TDOA-based acoustic source localization algorithms; Study and implementation of target tracking techniques based on Kalman filters, nonlinear filters, and smoothing methods; Characterization of communication, storage, and processing requirements associated with different monitoring architectures; Adaptation of processing pipelines for data from DAS systems; Development of methods for geolocating DAS channels and estimating the geometry of instrumented submarine cables; Production of technical and scientific documentation, including technical reports, scientific papers, and materials for disseminating results; Collaboration with the Robotics and Autonomous Systems Center team and project partners on technical and scientific activities; Writing of the Grant report.
Academic Qualifications
Undergraduate degree in Electrical and Computer Engineering, Computer Engineering, Engineering Physics, Telecommunications Engineering, Aerospace Engineering, Applied Mathematics, or related fields.
Minimum profile required
Knowledge of digital signal processing and data analysis;Knowledge of applied mathematics, statistics, and estimation;Knowledge of scientific programming in Python and/or MATLAB;Programming experience in C/C++;Proven experience in acoustic signal processing;Ability to analyze and interpret experimental results;Experience in producing technical documentation, scientific reports, or academic papers.
Preference factors
Knowledge of underwater acoustics, acoustic signal processing, or sonar systems; Experience with detection, filtering, correlation, and parameter estimation techniques; Knowledge of TDOA-based localization, multilateration, or positioning systems; Experience with Kalman filters, nonlinear optimization methods, or target tracking algorithms; Knowledge of distributed communication systems and edge/cloud architectures; Experience in processing large datasets and scientific computing; Knowledge of Distributed Acoustic Sensing (DAS) systems, fiber-optic sensing, or distributed monitoring; Experience in parallel programming and high-performance computing; Ability to work autonomously within a multidisciplinary team; Experience in communicating technical-scientific results orally and in writing; Proficiency in English (spoken and written) sufficient for reading international technical documentation and producing reports and scientific papers.
Application Period
Since 23 Jul 2026 to 05 Aug 2026
Centre
Robotics and Autonomous Systems