University of Vienna, Austria under the supervision of Ass. -Prof. Yllka
Velaj.
The candidate will conduct research on scalable algorithms for graph
mining, data mining e.g., clustering, analysis of large networks, and
application-oriented approaches to the analysis of massive data.
The candidate should have or be close to obtaining a Master's degree in
Computer Science or equivalent qualification with a strong focus on
Computer Science.
The ideal candidate should have a keen interest and a good background in
Data Mining, Algorithms, and Network analysis, have excellent academic
qualifications as well as good communication and collaboration skills.
Good programming skills are a great plus. Fluency in English is
required.
In addition, please find more details here:
https://docs.univie.ac.at/fileadmin/user_upload/p_docs/04_Pooled_Call/_04_PC4_UniversityAssistant_Velaj.pdf
Please submit your application with the following information to
https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277
:
- Curriculum vitae
- Letter of Motivation including ideas for a prospective doctoral
project proposal
- Abstract of master thesis
- Degree certificates
- List of publications,
- Evidence of teaching experience.
The deadline is May 2nd.
For further information please contact Yllka Velaj,
e-mail: yllka.velaj@univie.ac.at
--
Ass.-Prof. Dr. Yllka Velaj
University of Vienna
Faculty of Computer Science
Währinger Straße 29, A-1090 Vienna
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