PhD Position in Machine Learning for Acoustic Sensing under Uncertainty (Microphone Array Signal Processing)

This PhD position at the Acoustic Technology group, DTU Electro, offers an exciting opportunity to advance research in machine learning and statistical signal processing for microphone array data, with a particular focus on acoustic sensing under uncertainty. The successful candidate will join a creative and diverse scientific environment, collaborating with leading experts and contributing to the Alliance project 'Machine Learning for Acoustic Sensing under Uncertainty,' which is conducted in partnership with Aalto University and funded by an internal DTU grant. The research group specializes in the generation and transmission of sound, acoustic signal processing, advanced measurement techniques, transducers, room acoustics, vibration, and numerical methods. As a PhD candidate, you will conduct original research in microphone array processing, develop novel algorithms to improve the robustness and accuracy of acoustic measurements, and address real-world challenges in acoustic sensing. You will have opportunities to present your work at international conferences, participate in training activities, contribute to teaching and mentoring MSc students, and engage in dissemination activities within the scientific community and to the public. The position requires a two-year master's degree (120 ECTS points) or equivalent, with demonstrated experience in acoustic signal processing, microphone array processing, statistics, machine learning, optimization, and inverse problems. Excellent communication skills are essential. The appointment is for three years, based on the collective agreement with the Danish Confederation of Professional Associations, with the allowance agreed upon with the relevant union. DTU is a globally recognized technical university, offering a stimulating international environment and a commitment to academic excellence, collegial respect, and academic freedom. The department employs over 300 researchers and is dedicated to sustainable energy, greener internet, cyber security, and health technology. DTU fosters an inclusive and evolving working environment, with campuses across Denmark and Greenland and collaborations with top universities worldwide. Applications must be submitted online by 13 November 2025, including all required materials in English as a single PDF file. The assessment will be conducted by Assistant Professor Samuel A. Verburg (DTU), Assistant Professor Filip Elvander (Aalto), and Associate Professor Finn Agerkvist (DTU). For further information, candidates may contact Samuel A. Verburg. DTU supports international applicants and offers resources for relocation and integration into Denmark.