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PhD-candidate Ear, Nose and Throat Surgery Computer Models

We are looking for an enthusiastic PhD-candidate for the department of Ear, Nose and Throat Surgery (ENT) for the TEMPORAL project (machine learning To Enhance teMPoral cOding for chochleAr impLants). Within this computational modeling study you will focus on people with a cochlear implant. Are you the candidate we are looking for?

2 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Albinusdreef, Leiden, Zuid-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
36 uur
Salarisindicatie:
€ 2495 - € 3196 per maand
Opleidingsniveau:
WO

Functieomschrijving

Over 5% of the world's population suffers from hearing loss. Today, for deaf and severely hearing impaired people, cochlear implants (CIs) are the standard treatment. However, CIs have a limitation in properly transmitting detailed temporal information from the sound to the auditory nerve. This manifests itself in difficulties with speech understanding with background noise, tonal languages, directional hearing and music perception. TEMPORAL is a joint project with the Leiden Institute of Advanced Computer Science (LIACS) that aims to develop improved speech coding strategies for the CI speech processor that better transmits temporal information to the auditory nerve. To do this, a combination of three techniques will be used: computer modeling, artificial intelligence (AI), and patient-centered research. These new speech coding strategies will lead to improved perception in the aforementioned difficult listening situations. You will focus on implementing and merging two computer models. The first model is the existing Leiden computer model of the electrically implanted inner ear that you will extend with a simulated CI speech processor. The second model you will develop is a similar computer model, but of natural hearing. In this you will work closely with the other PhD-candidates working on this and related projects. Together with the AI PhD-candidate from the LIACS you will optimize the developed speech coding strategies. Using state-of-the-art Machine Learning techniques, the settings of the CI speech processor in the model will be adjusted so that the nerve impulses of the CI part will resemble one associated with natural hearing as closely as possible. The developed speech coding strategies will be tested by another PhD-candidate in a patient-related study.

In short

· You hold a Master’s degree in Computer Science, (Bio)Informatics, (Applied) Mathematics Applied Physics, Mathematical Biology or similar

· TEMPORAL is a joint project with the Leiden Institute of Advanced Computer Science that aims to develop improved speech coding strategies for the CI speech processor

· You will focus on implementing and merging two computer models

· You will use existing computer models for this purpose and you will extend them with a simulated CI speech processor

· You will work closely with the other PhD-candidates and researchers on the project

Functie-eisen

You hold a Master's degree in Computer Science, Artificial Intelligence, Engineering Physics or similar. You also have an affinity with hearing and medical scientific research. You have a good command of the English language, both verbally and in writing, as well as good communication and collaboration skills.

Conditions

The salary starts at €2,495 gross per month in the first year, up to €3,196 in the fourth year (scale pro, CAO UMC).

Additional information

Your career at the LUMC

The LUMC offers opportunities to maintain and develop your knowledge and skills. We offer internal courses and in-service training to help you with your personal development. We also offer services for mobility and career advice.

More information

The project will start on the 1st of June 2021 and will run until the 31st of May 2025.

Acquisition in response to this vacancy is not appreciated.

Contact details

dr.ir. Jeroen Briaire, sr. Clinical physicist and audiologist, department of Throat, Nose and Ear Surgery, Telephone +31(0)71 5262819, E-mail: J.J.Briaire@lumc.nl