We offer:
- one full-time position for a PhD student or postdoc
- up to four student assistant positions
Topic: Formalizing optimization models for privacy metrics.
The research goal is the formal analysis of data privacy after applying
anonymization methods to medical data sets.
Location will be either Frankfurt am Main or Hannover (Germany).
Your profile (for PhD student or postdoc):
- Master degree or PhD degree in Mathematics or Computer Science
- Experience in mathematical optimization
- Interest in data anonymization, machine learning and medical data
science
Please contact me to discuss further details:
Prof. Dr. Lena Wiese, lwiese@uni-frankfurt.de
Regards
Lena Wiese
--
Prof. Dr. Lena Wiese
Database Technologies and Data Analytics
Goethe University Frankfurt
http://www.dbda.cs.uni-frankfurt.de/
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************