We are looking for a motivated student assistant for the Theory of Neural Systems Group of Prof. Dr. Laurenz Wiskott at the Institut für Neuroinformatik at Ruhr-Universität Bochum. The work will be focused on computational neuroscience. The student will assist a Ph.D. researcher in developing a computational model of memory. The tasks would be helping with programming and also preparing some graphs. If you are interested in the field of machine learning there are a lot of opportunities to learn and enhance your skills in this project. You can also learn how research is conducted in academia if you are considering a Ph.D.
- Enrolled at a German university as a master student
- Programming experience in Python
- Good Knowledge of English
- Basic Knowledge of machine learning methods
- Programming experience in Tensorflow/Keras
- Knowledge of Latex
How to Apply:
A short statement of your motivation and a single PDF file including your CV as well as your transcript of records to firstname.lastname@example.org with CC to email@example.com.
A part-time position (8-12 hours per week) starting immediately and initially limited for 6 months with the possibility of extension.
Ruhr University Bochum is committed to equal opportunity in employment and gender equality in its working environment. To increase gender distribution in all job categories and at all levels, we strongly encourage applications from qualified women. Female applicants will be given preferential consideration when their level of qualification, competence and professional achievements equals that of male candidates, unless arguments based on the personal background of a male co-applicant prevail. Applications from appropriately qualified handicapped persons are also encouraged.