Job Description

We are looking for a motivated student assistant for the Theory of Neural Systems Group of Prof. Dr. Laurenz Wiskott at the Institut fuer Neuroinformatik at Ruhr-Universitaet Bochum.
The work will be focused on computational neuroscience. The student will assist a Ph.D. researcher in developing a computational model of memory (for more information please check: https://direct.mit.edu/neco/article/34/9/1841/112383/A-Model-of-Semantic-Completion-in-Generative). The tasks would be helping with coding and analyzing results. The ideal candidate should know about machine learning and preferably deep learning. Being familiar with TensorFlow/keras or PyTorch is an advantage. 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. Please send your CV and transcript of records to the following email address: Zahra.Fayyaz@ini.rub.de with the subject "HIWI position".  In the email please mention your background in the field of machine learning, your programming skills, and if you are familiar with deep generative learning.

The Ruhr University Bochum is committed to equal opportunity in employment. To achieve gender equality 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 equal 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.