2 Research Assistants | AI support for hearing-related diagnostic tools’
About the role
Your work will consist of:
The application of AI techniques (classification methods, like logistic regression and elastic net analyses) to exsisting data sets (project 1)
Exploring the use of existing ASR systems to evaluate characteristics of speech (project 2)
Development of software scripts required for these analyses (project 1 and 2)
The interpretation of the results of these analyses (project 1 and 2)
Supporting the reporting of these analyses (project 1)
We are looking for (in principle) 2 enthusiastic (master) students with experience in applying AI techniques, modeling, and applying systems based on deep learning methods, such as ASR.
Required is sufficient understanding of machine learning techniques and a knack for statistical analysis and predictive modeling.
In addition, you are fluent in English (spoken and written)
And you are a team player
Given the job start date and duration of the position, for this vacancy we are looking for candidates who are already living in NL at the time of applying.
This position (2x) is for a minimum of 4 months (until June 1, 2022) but please respond if you are available for a longer period!
Besides a good base salary you will receive an 8,3% year-end bonus and 8% vacation allowance. Calculate your net salary here.
Free and unlimited access to our online learning environment GoodHabitz.
Pension accrual with ABP, of which we pay 70% of the premium.
Reimbursement of 75% of your public transport costs. Would you rather travel by bike? Then we have a good bicycle scheme.
(Partially) working at home is possible (also partly outside office hours).
An active staff association and the Young Amsterdam UMC association, both of which organize fun (sports) activities and events.
About the project
Part of the research conducted at the Ear & Hearing section of the department of Otolaryngology-Head and Neck Surgery at the Amsterdam UMC – location VUmc focuses on the development of innovative diagnostic tools to assess hearing function and the consequences of hearing difficulties. In two research projects, we are assessing the value of machine learning techniques to identify, evaluate and validate the predictive value of new (sets of) predictors of speech perception performance and the effort associated with listening. Also, we will explore the possibility of applying and adapting existing ASR systems for our studies and perform pilot testing. We are looking for two master students interested in the application of machine learning models and ASR tools to support these two projects.
The main aim of project 1 is to assess the predictive value of physiological indices (pupillometry measures of listening effort) for the identification of hearing loss. The main aim of project 2 is to use automatic speech recognition systems to predict human performance.
About the workplace
You will be primarily based at the Amsterdam UMC, location VUmc, dept. of Otolaryngology. In this project you will work closely together with PhD students, senior researchers, and an audiologist. The department is multidisciplinary: psychologists, audiologists, health scientists and technicians work together in research into the consequences of hearing loss.
During the publication period an invitation for an interview is already possible!
For more information about this position, you can contact Dr. Adriana Zekveld, senior researcher via email@example.com
For more information about the application procedure please contact Tanja Hart, Recruitment Adviser, via firstname.lastname@example.org or via 06-21603178.
A reference check, screening and hiring test may be part of the procedure. Read hier whether this also applies to you.
In the event of proven equal suitability, internal candidates will be given priority over external candidates.
Acquisition in response to this vacancy is not appreciated.