Research Assistant: Modelling Physiological Data
(1 FTE; 7 months)
Application deadline: 20 April 2018
The Behavioural Science Institute at Radboud University has an opening for a research assistant who will work on the Off Road project called 'Gaming Against Anxiety: New Methodology to Uncover and Tailor Interventions to Individual Profiles of Behavioural Change.’ The vast majority of research on the effects of ’gaming’ is focused on the potential harm related to aggression, addiction, lowered school performance and depression. However, games have become increasingly more complex, emotionally inspiring, diverse, and social in nature.
You will be part of a programme of research that will develop new methodology to integrate biofeedback, machine-based expression and recognition of emotions, and evidence-based game mechanics in games that target anxiety and depression. The position is for 5 days/week, starting as soon as possible, ending 30 November 2018.
Specifically, you will apply machine learning to model physiological data from players of a virtual reality biofeedback game. Your responsibilities include cleaning and organising physiological data, developing a classifier to detect different player profiles (e.g., in Matlab, C++, or Python), determine reliability of the classifier and provide a qualitative description of the model.
You will be part of the multidisciplinary GEMH (Games for Emotional and Mental Health) lab consisting of senior researchers and postdocs in developmental psychopathology, a large team of doctoral students, as well as game designers and artist, embedded within the Behavioural Science Institute (BSI). The BSI is a multidisciplinary behavioural research institute. Our researchers collaborate across the boundaries of psychology, educational science, and communication science. The BSI has seven research programmes covering three major research themes: 1) development and learning, 2) psychopathology, health and well-being, and 3) social processes and communication. The BSI conducts fundamental research as well as applied/translational research. The 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 real and 3D virtual environments.
What we expect from you
- You have a Bachelor’s degree or (ongoing; research) Master in computer science, information science, artificial intelligence, or a similar relevant field;
- You have previous experience with machine learning and poses strong programming skills (e.g., Matlab, C++, Python)
- You are enthusiastic about scientific research, can work independently and in a team, and possesses excellent interpersonal, organizational, and scientific skills. It is also important to be conscientious and have excellent attendance;
- You must have an excellent command of either Dutch or English;
What we have to offer
- Employment: 1 FTE for max. 7 months (ending 30 November 2018)
- Salary is € 1,916 per month on a full-time basis (SA-scale); working on an hourly basis is possible as well
Would you like to know more?
For more information about this vacancy, please contact:
Marieke van Rooij, PhD
Are you interested?
Please send an email (attn. Marieke van Rooij) stating your motivation and include an up-to-date CV.
No commercial propositions please.