Researcher in Fitting, Machine Learning and Cochlear Implants
Job no: 610126
Work type: Fixed Term Contract (Cochlear payrolled)
Categories: Western Europe, Individual Contributor
The MOSAICS project (Minimizing Outcome Spread in mAximizing partICipation in Society) is a European Horizon 2020 Marie Skłodowska-Curie Action (www.mosaics-eid.eu). The overall goal is to understand, predict, identify and reducing the unexplained variability in outcomes among adult cochlear implants (CI) users by adopting a novel multidisciplinary approach that includes engineering, biophysics, neuroscience and psychology, taking into account body functions and structures, personal factors, activities/participation and environmental factors. Four early stage researchers (ESR) with different backgrounds will be trained to face the variability challenges within the field of adult cochlear implantation. In order to cover all aspects of the holistic framework, the 4 ESRs will closely collaborate. All recruited researchers will spend at least half of their three years on the project at industry partners. The MOSAICS consortium consists of Cochlear (Belgium) and Radboud University Medical Center (Netherlands).
Cochlear is the global market leader in implantable hearing solutions for patients with a disabling hearing loss. Thanks to our expertise and dedication, more than 450.000 patients have stepped through the door of the hearing world. In Mechelen, the activities of Cochlear consist of European research, development, production, training, and sales in the Benelux region.
Within the MOSAICS framework, Cochlear is looking for a Researcher that will drive a research program on Fitting, Machine Learning and Cochlear Implants in the context of a PhD education, starting at the latest in February 2020. The project will be conducted in close collaboration with Radboud University Medical Centre Nijmegen (Prof. Dr. E. Mylanus, Dr. Wendy Huinck and Prof. Dr. J. van Opstal) and Cochlear (Dr. B. van Dijk).
The purpose of this ESR position is to investigate the use of audiological tests outcomes in the fitting process and apply machine learning techniques to use the outcomes of these tests to the fitting. The ESR will strive
- to investigate outcome based audiological test methods that are indicative of poor information transfer in the auditory system, and develop and test fitting methods that use these outcomes to improve speech understanding. Within this framework the use of machine learning to optimize the multi-dimensional parameter space will be explored.
- to be part of the MOSAICS network and deliver a PhD by
- intensifying and strengthening interdisciplinary knowledge and skills in the hearing journey of adult CI candidates and users.
- progressing in the knowledge of mechanisms underlying and predicting poor performance.
- converting the interdisciplinary knowledge into relevant clinical assessments.
This is a unique opportunity to work towards a PhD degree and be supervised by an Industry-Academia supervisory team consisting of at least one supervisor from each field. The successful candidates will benefit from an international scientific network of high-profile industry and academic partners, intersectoral secondments as well as individual and network-wide training modules, including transferable skills courses.
You are the right candidate for this role when
- you are eligible to the criteria of the EU Funding:
- You received your master degree no more than 4 years ago at the start of the projects;
- You haven’t resided in Belgium for more than 12 cumulative months over the past 3 years;
- you have a scientific degree in Psychoacoustics, (technical) Audiology or Engineering, with a strong interest in research, machine learning and computer programming;
- you are enthusiastic, empathic and driven: you are motivated to work on real life problems and keen to make a difference for people with communication disabilities;
- you have proven analytical skills. You have an inquisitive and creative mind, and good problem-solving skills.
- you are a strong team player with, at the same time, the ability to work independently
- you have excellent communication skills, as you will need to run clinical trials with hearing impaired subjects. Good verbal and written English skills, as well as willingness to learn the Dutch language are necessary;
- you are willing to travel significantly (50%) between Cochlear Technology Centre in Mechelen, Belgium and Nijmegen Radboud University Medical Center in The Netherlands.
Apply now for the Researcher in Fitting, Machine Learning and Cochlear Implants position by completing your online application form below.
Interested in one of the other open ESR positions within the MOSAICS project? Find more information on https://euraxess.ec.europa.eu.
Advertised: W. Europe Daylight Time
Applications close: W. Europe Daylight Time
Back to search results Apply now