Postdoctoral Researcher in the Deep Hearing Lab 80 - 100 %
Start of employment As soon as possible or as per agreement, temporaryThe Deep Hearing Lab is a multinational group of researchers who study the perception of sound. Our research aims to better understand and to alleviate the difficulties that people with hearing loss face in everyday situations, particularly those that involve speech communication in noisy environments and for people who use cochlear implants or hearing aids to hear.
For this role we are seeking a highly motivated, collaborative and independent postdoctoral researcher to work with us to develop new computational methods for improving cochlear implant stimulation strategies. This role will be embedded in an interdisciplinary environment comprising auditory scientists, clinicians and audiology experts in Zurich, and involve direct collaboration with our international partners in Cambridge, Paris, Oldenburg and Boston.
The successful candidate will focus on the implementation of computational simulation models of neural processes during auditory perception, the integration of existing simulation tools and the development of novel optimisation frameworks using artificial intelligence and deep learning. The goal is to improve sound perception with cochlear implants through the combination of computer simulations with AI-based optimisation.
The multidisciplinary and innovative nature of the research provides many opportunities for development. The successful candidate will be actively supported in their career progression with a range of formal courses, on-the-job training, networking opportunities as well as mentoring by leading auditory scientists.
This role will be based at the University of Zurich and University Hospital Zurich, within the Department of Otorhinolaryngology, Head and Neck Surgery. It is part of an SNSF Starting Grant awarded to Prof. Tobias Goehring and has an initial appointment period of two years. The salary is defined by the SNSF guidelines and UZH policy for postdoctoral research roles. International candidates are encouraged to apply.
Your responsibilities
- Build new computational frameworks to combine, integrate and evaluate simulation models of auditory processes with machine learning techniques
- Develop new computational pipelines for sound-to-neural stimulation processes
- Implement and fine-tune state-of-the-art deep learning methods for closed-loop optimisation
- Perform statistical analysis, maintain documentation and use version control
- Prepare peer-reviewed publications and present findings at scientific conferences
- Actively engage and work with other members of the team and collaborators
Your profile
- Ph.D. in engineering, computer science, bioinformatics, neuroscience, statistics or related field with demonstrated research experience in computational methods
- Expertise in machine learning, in particular deep neural networks
- Strong programming skills in Python and/or Matlab
- Strong interest in auditory or speech science and hearing devices
- Experience in computational modelling and simulations is an advantage
- Experience in using high-performance computing platforms is an advantage
- Good communication skills and enthusiasm to work in an interdisciplinary team
Information on your application
Interested applicants are asked to submit their application documents (cover letter, CV, diplomas, contact information for 2 references) as one PDF file.The application period will be closed by 31 March 2026.
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Prof. Dr. Tobias Göhring SNSF Assistant ProfessorThe University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer!
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