Research Associate for Mobility Data Anonymization Project | Wissenschaftliche:r Mitarbeiter:in für das Forschungsprojekt „Anonymisierung von Mobilitätsdaten“
Hochschule Esslingen
Job Summary
The Esslingen University of Applied Sciences is seeking a motivated Research Associate to join the 'AnoMoB-T' project, which focuses on developing privacy-friendly solutions for collecting and utilizing mobility and movement data. In this role, you will research and implement advanced anonymization techniques, including differential privacy, statistical methods, and artificial intelligence, to secure sensitive information. You will be responsible for conducting experiments, documenting findings, and disseminating results through academic publications and conference presentations. The position offers a collaborative environment at the Flandernstraße campus, working alongside industry partners and research institutes. Ideal candidates will have a Master’s degree in Computer Science, Mathematics, or a related field, with strong expertise in Data Science and Machine Learning. You will have the opportunity to contribute to significant security-focused research while benefiting from flexible working models, professional development support, and a supportive academic culture. This is a fixed-term position until April 2028, offering the potential for a full-time commitment within a dynamic research network.
Required Skills
Education
Master's degree in Computer Science, Mathematics, or a related field.
Experience
- Professional experience in Data Science, Machine Learning, or Artificial Intelligence
- Experience in applying AI methods within academic or industrial research projects is considered a strong advantage
Languages
Additional
- Must be eligible to work in Germany; position is fixed-term until 30.04.2028.
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