Neural Data Privacy and Decoding SecurityResearch associates

The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade TV-L E13 TV-L.

Do you have experience in Python?, Do you have a Master's degree?, * Master's degree in Neuroscience, Biomedical Engineering, Computer Science, Cognitive Science, or a related field

• Strong interest in neural data analysis, machine learning, and data privacy
• Experience with Python and common ML frameworks is highly desirable
• Motivation to work in an interdisciplinary research environment

In order to fill a fixed-term position in part-time (25.8895 hours/week = 65%) at the earliest possible date, we are looking for 1, * Challenging and varied tasks with a high level of independence

• Employment at one of the largest universities in Germany within the University Alliance Ruhr

• Options for flexible working (mobile working and teleworking)

• A comprehensive offer to strengthen health in the workplace

• A stimulating, interdisciplinary research environment

• Close collaboration with experts in cybersecurity, cryptography, and embedded systems

• Excellent conditions for scientific qualification and international visibility

RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees. German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr@rub.de. The Ruhr-Universität Bochum is one of Germany's leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum's declared aim.