Ongeveer 23 uur geleden - Technische Universiteit Eindhoven - Eindhoven
PhD candidate position at the Dept. of Cognitive Neuroscience/Faculty of Psychology and Neuroscience/Maastricht University
We are looking for an enthusiastic PhD candidate with a strong interest in machine learning and computational models for auditory processing, as well as a strong motivation to conduct empirical research involving neuroimaging data acquisition and analysis methods.
- Oxfordlaan, Maastricht, Limburg
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 36 - 40 uur
- € 2325 - € 2972 per maand
The PhD project is embedded in a multidisciplinary research line investigating the formation of semantic categories in the auditory cortex using a combination of imaging techniques (7T fMRI, EEG) and computational models (Deep Neural Networks).
The project is part of an M-BIC funded grant awarded to dr. Giancarlo Valente and will be performed at the Maastricht Brain Imaging Center (M-BIC), which offers cutting edge MRI research facilities including human 3 Tesla, 7 Tesla and 9.4 Tesla human MRI systems (www.scannexus.nl). The M-BIC hosts a highly international and interdisciplinary team of researchers that is at the international forefront in combining brain imaging techniques with advanced computational modeling approaches to tackle (cognitive) neuroscience questions. The successful candidate will perform her/his PhD research within the “Auditory Perception and Cognition” group (https://mbic-auditorylab.nl/) under the supervision of dr. Giancarlo Valente and Prof. Elia Formisano (group leader)
The PhD research project specifically aims at studying the brain mechanisms underlying the extraction of semantic information from sounds, combining functional neuroimaging (fMRI at 7 Tesla), electroencephalography (EEG) and auditory computational models, including deep neural networks for sound classification. The primary responsibility of the PhD student will be to actively participate in all the phases of the research. The candidate will furthermore publish the results in peer reviewed journals.
- The ideal candidate has a Master or Research Master (MSc) degree in cognitive neuroscience or a related field, such as biomedical engineering, (theoretical) neuroscience or computer science.
- Candidates should have a genuine interest in modeling auditory perception using and developing state-of-the-art deep learning models for sound classification, have solid programming skills (Python and/or MATLAB) and a strong motivation to conduct empirical research across disciplines, together with excellent writing skills.
- Research experience (during the master thesis or research internships) with neuroimaging techniques including functional MRI and/or experience with computational modeling of auditory stimuli are an advantage.
- The candidate should be able to work in a team.
The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website http://www.maastrichtuniversity.nl > Support > UM employees.
For more information, you can contact dr Giancarlo Valente
via e-mail: giancarlo.valente @maastrichtuniversity.nl
or telephone: 31 (0)43 3882469;
The preferred starting date of this PhD-project is between January and February 2020
Interested candidates should send
• A letter of motivation
• A detailed CV
• Contact info of at least two references
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