Tenure Track Assistant Professorship in Advanced Brain-Robot Interfaces at DKE : Maastricht, Netherlands

The Departments of Knowledge Engineering (DKE) and Cognitive Neuroscience (CN) at Maastricht University (UM), the Netherlands, invite applications for a full-time Assistant Professorship position in the area of Advanced Brain-Robot Interfaces. The position is affiliated with the Swarmlab robotics laboratory of DKE (swarmlab.unimaas.nl/) and is part of a joint DKE-CN excellence project in Advanced Brain-Robot Interfaces. We offer you a stimulating scientific environment with excellent facilities for professional and personal development.   


Ph.D. in robotics, or a closely related field, with a background in brain-robot interfaces. Additional experience in fields such as computational neuroscience, electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS) or functional magnetic resonance imaging (fMRI) is considered a big plus. Moreover, additional expertise in vision processing, eye tracking or augmented reality is seen as an advantage. The applicant should have demonstrated research excellence in robotics and brain-robot interfaces. The applicant is expected to actively participate in the excellence project and the co-supervision of the PhD students within this project. We are looking for a new colleague who has a strong interest in actively acquiring research funding, team spirit, and experience in giving classes at the bachelor and/or master level.


The position is initially offered for a four-year period, with yearly evaluation. Subject to evaluation and funding, the position is eligible for extension after four years. Salary is competitive, depending on qualifications and work experience. The salary will be set in salary scale 11 (preliminary scale 10) of the collective labour agreement of the Dutch Universities (expected minimum € 3.324 and maximum € 4.551 per month) for a full-time job (38 hours/week). On top of this, there is an 8% holiday and an 8.3% year-end allowance. Non-Dutch applicants could be eligible for a favourable tax treatment (30% rule).3324 - 4551

More details can be found at https://www.academictransfer.com/employer/UM/vacancy/27277/lang/en/