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Two PhD positions (f/m/x) - Data Integration

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Arbeitsbeschreibung - Two PhD positions (f/m/x) - Data Integration


HPI is recognized as one of the leading university institutes for computer science (www.hpi.de). Our goal is to strengthen Europe's digital sovereignty with excellent research and practice-oriented teaching in computer science. At HPI, we are convinced that excellence is created when knowledge from different disciplines is collaboratively combined to create responsible and pioneering solutions for the future.
In our research clusters "Systems," "Data and AI," "Foundations," "Digital Health," "Security," and "Business and Society" researchers from various disciplines work together on topics relevant to solving the challenges facing society. The Digital Engineering Faculty of the University of Potsdam and HPI offers a computer science engineering degree program that is unique in Germany. 


In the course of its strong growth, the Hasso Plattner Institute is offering


 


 


Two PhD positions (f/m/x) - Data Integration 


 


 


​The positions are temporary and full-time for the purpose of obtaining a PhD.


 


 


 


In the Information Systems group, we develop efficient methods centered on data profiling, data integration, and data quality. In the Metis project, for instance, we develop efficient methods to assess data quality across various dimensions (completeness, diversity, correctness, etc.) and determine whether data is fit for AI training. In the Metanome project, we develop scalable data profiling algorithms to discover data dependencies and extract ontologies within large datasets. We are especially interested in the cultural heritage domain.


 


 


Your future tasks


 



  • Conducting research within the group and in collaboration with our international partners

  • Writing scientific papers and presenting them at top international conferences

  • Supervising Master’s students

  • Communicating research results for knowledge transfer and to the general public

  • Assisting with teaching activities (optional)


 


 


Your skills


 



  • Successfully completed master’s degree in Computer Science or a related field

  • Experience in at least one of the following areas: data quality, data integration, data cleaning, ontology engineering

  • Enthusiasm for academic research, publishing, and the execution of practice-oriented projects

  • Communication skills, as well as proficiency in both spoken and written English (German language skills are optional)

  • Commitment, independence, flexibility, and team spirit


 


 


What we offer


 



  • A first-class, active and inspiring research environment

  • The opportunity to produce research that truly has an impact

  • Regular team events and workshops 

  • For problems of any kind (including those in your private life), you can use our external employee counseling service free of charge

  • Attractive employee offers (corporate benefits)

  • Company-subsidized public transportation ticket/"Deutschlandticket"

  • Possibility to work remotely (up to 2 days a week)

  • 30 days of vacation plus two additional days off on Christmas Eve and New Year's Eve

  • Numerous sports facilities (tennis and basketball courts, beach volleyball court, calisthenics park, and participation in running events)

  • Workplace on the HPI campus in Potsdam-Babelsberg (Griebnitzsee S-Bahn station), with fast transportation connections to Berlin


 


 


We look forward to receiving your application, including motivation letter, CV, relevant transcripts or degree certificates, a sample of your scientific work (e.g. thesis, excerpt or publication), reference letters (if available). Please apply exclusively via our career portal (see red button below). The positions will remain open until filled.


 


 


Contact HR Recruiting


Nicola Mertens 
[email protected]



Contact Research Group


Prof. Dr. Felix Naumann
[email protected]
+49 331 5509 280


 


Hasso-Plattner-Institut für Digital Engineering gGmbH
Prof.-Dr.-Helmert-Str. 2-3
14482 Potsdam


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