Post-Doc Position in Auditory Signal Processing

Last application date
Dec 01, 2016 09:15
TW05 - Department of Information technology
Limited duration
PhD in mathematics, or physics, machine learning, signal processing.
Occupancy rate
Vacancy Type
Research staff

Job description

The project adopts computational models of the auditory system to develop model-based signal processing, machine learning and optimization algorithms for sound encoding algorithms. Patient contact is not required, but working in a team that takes experimental (physiological and psychophysical) approaches to hearing is necessary. This position is ideal for theoretically and computationally strong candidates interested in hearing and sound-processing related applications. The position is part of the ERC project RobSpear: “Robust Speech Encoding in Impaired Hearing” that takes an interdisciplinary approach (combining auditory models with EEG, psychoacoustics and machine-learning) to study sound processing in listeners with impaired hearing. The Hearing Technology lab of Prof. Dr. Verhulst at WAVES (Dept. of Information Technology) offers an international research environment and access to world-class research facilities ( Funding is available for 3 years.

Profile of the candidate

Applicants must hold a PhD in mathematics, or physics, machine learning, auditory signal processing. Excellent coding skills (Python, Matlab) and signal processing knowledge are required, experience with auditory modeling and sound applications are a big plus. Experience with writing scientific papers and excellent written and oral English skills are required.

How to apply

Applications including a CV, motivation letter, copies of higher-education degrees, grade transcripts and the name and contact details of two persons who are willing to provide a reference should be sent electronically to: Please mention “PostDoc Verhulst” in the subject line. Inquiries about the position can be directed to Prof. Dr. Verhulst.