FTE) (V22.0896)Job description
We invite applications for a fully-funded four-year PhD student position in the Jantina Tammes School of the University of Groningen, The Netherlands. This PhD position is a collaboration between the Cognitive Modeling group (Marieke van Vugt, https: // mkvanvugt.wordpress.com ) and the department of Neurology of the University Medical Center Groningen (Natasha Maurits, https: // www. clinicalneuroengineering.com & Joukje van der Naalt, https: // www. rug.nl/staff/j.van.der.naalt/ )
When clinical or cognitive questions are addressed by using deep learning or machine learning on the basis of electroencephalography (EEG) data, the availability of limited EEG data presents a significant challenge. There are at least two types of limitations on data. Firstly, it may not be possible to find enough participants due to the rarity of the disease or challenging inclusion criteria. Secondly, it may be too time-consuming, too difficult or too exhausting, to obtain enough data for within-participant classification or prediction.
A solution that has been proposed to solve the limited data problem is Generative Adversarial Networks (GANs). GANs provide an unsupervised learning method that was applied to the generation of synthetic EEG data for the first time in 2018. However, GANs have some limitations. As the GAN can only sample from a limited dataset, i.e., the real data that it is presented with, it cannot take into account the possibilities of the entire space of potential real EEG data. This limitation is especially important when the real EEG dataset is small, or obtained from a nonrepresentative sample of the population.
To improve upon current methods, in this project knowledge about underlying cognitive processes will be taken into account in the generation of artificial EEG signals to be presented to the discriminator part of the GAN network. This cognitive component will be derived from the Adaptive Control of Thought—Rational (ACT-R) cognitive architecture. ACT-R is a cognitive architecture that has been used for decades to model and predict behavior on a wide range of cognitive tasks including attentional blink tasks, complex working memory tasks, associative memory tasks and more. Moreover, it has been linked to brain activity through EEG and fMRI.
The position is one of a large number of new PhD positions embedded in the new interdisciplinary schools of the University of Groningen. Consequently, the student will have ample opportunity to interact with other PhD students and staff who are interested in pursuing interdisciplinary research on the intersection between AI, psychology, neuroscience and medicine.Qualifications
A successful candidate has a Master's degree in Artificial Intelligence, Cognitive Neuroscience, Mathematical Psychology, Neural Engineering or a related field, and experience in computational modeling of cognition, as well as solid programming skills. Experience in psychology, cognitive neuroscience, machine learning or EEG analysis is a plus. Good communication skills (both verbal and written) in English are a prerequisite. Knowledge of Dutch at the B1 level is a plus. The candidate should be enthusiastic about research, capable of learning new skills, and happy working both independently and in collaboration with other scientists.Organisation
Founded in 1614, thConditions of employment
We offer you, following the Collective Labour Agreement for Dutch Universities:
Application should include:
You can submit your application until 15 January 11:59pm / before 16 January 2023 Dutch local time (CET) by means of the application form (click on "Apply" below on the advertisement on the university website). Please do not apply to this position if you have already applied to this position before when it was posted in October.
Applications received before 16 January 2023 will be given full consideration; however, the position will remain open until it is filled.
The University of Groningen strives to be a university in which students and staff are respected and feel at home, regardless of differences in background, experiences, perspectives, and identities. We believe that working on our core values of inclusion and equality are a joint responsibility and we are constructively working on creating a socially safe environment. Diversity among students and staff members enriches academic debate and contributes to the quality of our teaching and research. We therefore invite applicants from underrepresented groups in particular to apply. For more information, see also our diversity policy webpage: https: // www. rug.nl/about-ug/policy-and- strategy/diversity-and-inclusion/
Our selection procedure follows the guidelines of the Recruitment code (NVP): https: // www. nvp-hrnetwerk.nl/nl/sollicitatiecode and European Commission's European Code of Conduct for recruitment of researchers: https: // euraxess.ec.europa.eu/jobs/charter/code
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