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We are looking for a recent PhD graduate in a relevant field, for instance, artificial intelligence or computer science. You should have:
Fixed-term contract: 4 years (0.6 FTE) or 3 years (0.8 FTE) (depending on your capabilities the position can be extended to 1 FTE with teaching duties).
We want to get the best out of science, others and ourselves. Why? Because this is what the world around us desperately needs. Leading research and education make an indispensable contribution to a healthy, free world with equal opportunities for all. This is what unites the more than 22,000 students and 5,000 employees at Radboud University. And this requires even more talent, collaboration and lifelong learning. You have a part to play!
The Faculty of Social Sciences is one of the largest faculties at Radboud University (Nijmegen, Netherlands). The faculty currently employs about 650 employees. The faculty’s ambition is to become one of the top social science institutes in Europe, providing high-quality research programmes and study programmes that rank among the best in the Netherlands.
The Behavioural Science Institute (BSI) is part of the Faculty of Social Sciences. BSI is a multidisciplinary behavioural research institute where researchers collaborate across the boundaries of psychology, educational science and communication science. It has seven research programmes covering three main research themes: (1) development and learning, (2) psychopathology, health and well-being, and 3) social processes and communication. BSI conducts applied/translational research as well as fundamental research. The BSI Graduate School (recognised by the Netherlands Organisation for Scientific Research) is responsible for the training of PhD candidates. BSI has state-of-the-art research facilities for observational studies, experiments, eye-tracking studies, EEG measurements and GSR recording, psychobiological research, and behavioural measurements in both real and 3D virtual environments.
You will work within BSI’s Learning and Plasticity group. This programme deals with the micro-analysis of learning processes. The project is situated in the Adaptive Learning Lab (ALL) which is a technologically intensive research lab that is recognised as a pioneer in developing innovative learning technologies applying Learning Analytics and Artificial Intelligence techniques. ALL currently consists of 1 postdoctoral researcher, 2 junior researchers and 6 PhD candidates, and is led by Associate Professor Inge Molenaar. ALL conducts research in different educational contexts, with projects in primary education, secondary education and higher education. Moreover, ALL collaborates with a number of international partners in the EARLI Centre of Innovative Research (E-CIR). We offer a highly innovative context at an advanced research university with ample opportunities to travel, publish and develop yourself over the course of this project.
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