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.

Fixed-term contract: 4 years.

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.

Maastricht University

Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 18,000 students and 4,300 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.

Cognitive Neuroscience

The Cognitive Neuroscience (CN) department in Maastricht combines research in human perception and cognition with the development of advanced methods in neuroscience. Various brain imaging methods are employed to describe and predict behaviour, such as single cell recording, functional magnetic resonance imaging (fMRI), electro- and magneto-encephalography (EEG and MEG). Furthermore, transcranial magnetic stimulation (TMS) and neurofeedback are being used to manipulate behaviour. The research is embedded in the Maastricht Brain Imaging Center (M-BIC).