We are looking for a highly motivated research assistant to work on a BMBF-funded project focused on anonymization techniques for semi-structured, longitudinal patient data. The successful candidate will work closely with partners at the German Research Center for Artificial Intelligence (DFKI) and the Charité - Universitätsmedizin Berlin.
Responsibilities will include developing and testing different anonymization techniques, analyzing the performance of machine learning models in the context of anonymization, and communicating project progress and results to relevant stakeholders. The position offers opportunities for pursuing a doctorate and publishing research results in scientific journals and conferences.
Qualified candidates will have a completed university degree in computer science or computational linguistics, excellent programming skills in Python, and a strong background in machine learning/NLP. Previous experience in the field of anonymization and/or synthesization of data is an advantage.
The Quality and Usability Lab offers an agile and lively international and interdisciplinary environment for working in a self-determined manner. If you are interested in contributing to cutting-edge research and working with a dynamic team, please apply!
More information can be found here: https://www.jobs.tu-berlin.de/stellenausschreibungen/164717?language=en
If you have got questions, do not hesitate to contact me.
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Dr. Roland Roller Senior Researcher
DFKI Lab Berlin, Alt Moabit 91c, D-10559 Berlin, Germany Phone +49 30 23895 1847
Email: roland.roller@dfki.de