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Please fill in the following fields in order to apply for a master's thesis at the chair for methods of plasticity research (Prof. Langer). Note that the criteria are not mandatory, but they do help us in finding a suitable master's thesis topic for you. Keep your current CV and track record (Leitungsübersicht) ready, you will be asked to upload them at the end.If you experience any problems with filling out the form, please contact us by mail (neurometric@psychologie.uzh.ch).
Please indicate above your level of proficiency in R (1: never used; 3: basic skills that I've learned during typical university curriculum; 5: extensive knowledge).
Please indicate above your level of proficiency in MATLAB (1: never used; 3: basic skills that I've learned during typical university curriculum; 5: extensive knowledge).
Please indicate above your level of proficiency in Python (1: never used; 3: basic skills that I've learned during typical university curriculum; 5: extensive knowledge).
Please indicate your overall knowledge in statistical analyses (1: i forgot everything I ever learned in stats classes; 3: basic skills that I've learned during typical university curriculum; 5: worked as a tutor for stats lectures, confident in using statistcal tests).
Please indicate above your level of proficiency for machine learning (ML) and AI methods (1: do not know anything; 3: had some lectures 5: confident with using ML/AI).
Describe why you would be interested in writing your master's thesis at the chair for methods of plasticity research. Explain which research you are most interested in. If you already have a project or a lab member (as your supervisor) in mind, please indicate this as well. Here, you can also add anything else, which might be relevant for us (experience as research assistant, specific skills acquired outside of the University which might be relevant for a master’s thesis).
(Please upload a PDF of your current CV.)
(Please upload a PDF of your current track record.)
