Postdoctoral Researcher in Machine Learning and Room Acoustics

Postdoctoral Researcher in Machine Learning and Room Acoustics

5.2.2026

28.2.2026

School of Electrical Engineering

Other teaching and research personnel

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland.

Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The position is part of a research collaboration between the Technical Psychoacoustics research group and Meta Reality Labs (Redmond, WA, USA) and focuses on machine listening
, which involves machine learning methods that enable systems to analyze, interpret, and selectively attend to complex acoustic scenes. The research investigates how the realism of room acoustic simulations influences the training, robustness, and generalization of machine listening models for tasks such as sound source localization, speech separation, and enhancement, as well as the perceptual outcomes of these models in realistic listening scenarios.

What we are looking for

We are seeking a highly motivated postdoctoral researcher with a strong background in machine learning
, room acoustic simulation
, virtual acoustics, computational acoustics
, or audio signal processing who is interested in interdisciplinary research at the intersection of machine learning, acoustics, and augmented hearing. The ideal candidate will be curious, independent, collaborative, and interested in methodological development and perceptual experimental evaluation.

Roles and goals

The postdoctoral researcher will:

Conduct independent and collaborative research on machine learning-based sound source localization, speech separation, and/or enhancement.

Investigate the impact of room acoustic simulation realism on machine learning model training, generalization, and robustness.

Work with simulated and real-world acoustic data.

Contribute to the design of experiments, evaluation of results, and interpretation of findings across algorithmic and perceptual domains.

Disseminate research outcomes through high-quality scientific publications and presentations.

In addition, during the position, the postdoctoral researcher will have the opportunity to work closely with the Principal Investigator on the preparation of follow-up research proposals, with the aim of securing external funding and potentially extending the position beyond the initial contract period.

Experience and qualifications

Applicants are expected to have:

A PhD degree (or close to completion) in acoustics, audio engineering, audio signal processing, machine learning, computer science, or a related field.

Experience with machine learning methods for audio, speech, or spatial audio signal processing.

A solid publication record or clear potential for high-quality scientific output.

Ability to work independently and as part of an interdisciplinary research team.

Excellent scientific writing and presentation skills in English

A willingness to mentor to PhD and master level students

Experience with room acoustic simulation, virtual acoustics, or perceptual experiments is considered an advantage, but not a strict requirement.

What we offer

A full-time, fixed-term position for one year at Aalto University.

A starting monthly salary of approximately 4,100 EUR
. The contract includes occupational health care benefits and Finland has a comprehensive social security system.

Access to excellent research infrastructure, including GPU computing resources, acoustic laboratories, and state-of-the-art measurement facilities.

A highly international and interdisciplinary research environment.

Support and mentoring for academic career development, including proposal writing and research…