Jan Steckel
4 days ago
PhD Scholarship in Biomimetic Echolocation and Autonomous Aerial Robotics (FPGA-based Sensor Design & Signal Processing) University of Antwerp in Belgium
I am offering a PhD position in biomimetic echolocation and autonomous aerial robotics at University of Antwerp.
University of Antwerp
Belgium
Jan 19, 2026
Keywords
Description
The University of Antwerp invites applications for a full-time PhD scholarship in Biomimetic Echolocation and Autonomous Aerial Robotics, with a focus on FPGA-based sensor design and signal processing. This position is hosted within the Cosys-Lab research group in the Department of Electrical and ICT Engineering Technology, Faculty of Applied Engineering, and is supervised by Professor Jan Steckel and Professor Walter Daems. The research is part of the FWO project ‘ECHO-FLIGHT’, which builds on nearly two decades of pioneering work in 3D in-air sonar and bat echolocation. The project aims to enable full-scale quadrotor UAV control based primarily on echolocation, incorporating key biological features such as wideband sensing and HRTF-based spatial encoding to achieve high-fidelity, biomimetic airborne sonar.
As a doctoral researcher, you will develop and implement biologically inspired echolocation systems for aerial robots, focusing on wideband acoustic sensing, HRTF modelling, and spatial perception inspired by bat echolocation. You will design and validate signal processing pipelines for real-time echo-based localization and scene understanding on resource-constrained UAV platforms. The role involves publishing scientific articles, collaborating with another PhD student working on quadrotor control systems, and supporting teaching and research activities related to cyber-physical systems and applied image/data processing.
Applicants should hold or expect to obtain a Master’s degree in Computer Science, Electronics Engineering, or a closely related field by the start date. Strong academic results, a background in signal processing (acoustics, array processing, or time–frequency analysis), and proficiency in scientific programming (Python and/or MATLAB) are required. Experience with C/C++ and FPGA design for signal processing applications is advantageous. Candidates should be able to design, conduct, and analyze controlled experiments in simulation and with real sensor data, and demonstrate teaching and research competences in line with university policies.
The scholarship is offered for two years, with the possibility of renewal for another two years following a positive evaluation. The monthly scholarship amount is determined according to university rates, and additional benefits include ecocheques, Internet-connectivity allowance, and either a bicycle allowance or full reimbursement of public transport costs for commuting. The successful candidate will work primarily at Campus Groenenborger in a dynamic and stimulating environment, with access to a wide range of courses and educational credits through the Antwerp Doctoral School.
Applications must be submitted online via the University of Antwerp’s job application platform by 19 January 2026. Required documents include a motivation letter, academic CV, and a brief statement on how your research interests align with the project’s focus on ultrasound, robotics, and machine learning. For questions about the application process, contact [email protected]; for job-related inquiries, reach out to prof. Jan Steckel at [email protected].
The University of Antwerp is committed to diversity, inclusion, and equal opportunities, and encourages candidates from all backgrounds to apply. The institution has received the European Commission’s HR Excellence in Research Award and offers a family-friendly, growth-oriented work environment.
Funding
Available
How to apply
Apply online via the University of Antwerp’s job application platform by 19 January 2026. Complete the online application form and attach a motivation letter, academic CV, and a short text explaining your research interests in relation to the project. For questions about the application process, email [email protected]. For job-related questions, contact prof. Jan Steckel at [email protected].
Requirements
Applicants must hold or expect to obtain a Master’s degree in Computer Science, Electronics Engineering, or a closely related field by the start date. Good academic results are required. Candidates should have strong background in signal processing, especially acoustics, array processing, or time–frequency analysis. Proficiency in scientific programming (Python and/or MATLAB) and experience with C/C++ are advantageous. Ability to design, conduct, and analyze controlled experiments in simulation and with real sensor data is expected. Experience with FPGA design for signal processing applications is an asset. Candidates should demonstrate teaching competences and research qualities in line with university policies, and act with attention to quality, integrity, creativity, and cooperation.
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