[InetBib] Scholarship Recommender Systems & Personalization

[Ulf Brefeld <brefeld@xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx>]

Subject to a close co-operation with the Zalando GmbH [1], the Knowledge Mining 
& Assessment Group [2] at Technical University of Darmstadt is offering a

 Zalando Doctoral Scholarship on Recommender Systems and Personalization

Zalando is known for rapid growth and innovative Marketing driven by a young 
and dynamic team; behind the scenes, it is aiming at creating the best online 
fashion experience. To that end Zalando is working on cutting edge 
personalization technologies and recommendations. The Knowledge Mining & 
Assessment Group at TU Darmstadt headed by Prof. Dr. Ulf Brefeld focuses on 
machine learning and information retrieval. The cooperation with Zalando offers 
an outstanding access to novel problem settings and real data at 
enterprise-level scales. We will collaborate closely with the Recommendations 
Group and the Data Intelligence Team at Zalando. Regular visits at the Zalando 
Headquarters in Berlin are encouraged.

Requirements for application
Excellently qualified graduates from the disciplines of computer science, 
mathematics, statistics, and related studies are invited to apply. Successful 
candidates are expected to possess very good programming skills in Python 
(Hadoop, Java, C/C++ skills are a bonus), to work independently, demonstrate 
their personal commitment, team and communication skills as well as a readiness 
to cooperate. Experience in recommender systems, machine learning, and 
information retrieval and processing methods would be appreciated.

The scholarship is granted for 36 months for completing a doctoral thesis. The 
successful candidate will be granted 1,400 Euros per month (tax free). Women 
and people with disabilities are expressly invited to submit their application.

The Department of Computer Science at TU Darmstadt [3] regularly ranks among 
the top in Germany. Among its distinguishing features are its research 
initiative “Knowledge Discovery on the Web“ [4] focusing on powerful language 
technology procedures, text mining, machine learning and scalable 
infrastructures for assessing and aggregating knowledge.

Please submit your application by February 4, 2013. Applications should include 
a letter of motivation, CV and details regarding previous scientific work, 
certifications of studies and work, including the graduate thesis and possibly 
electronic publications. Applications as well as inquiries should be sent to 
Stefanie Schmahl 
<schmahl@xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx<mailto:schmahl@xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx>>.

[1] http://www.zalando.de/
[2] 
http://www.kma.informatik.tu-darmstadt.de/<https://www.informatik.tu-darmstadt.de/>
[3] http://www.informatik.tu-darmstadt.de/
[4] http://www.werc.tu-darmstadt.de/

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