Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Ort
- Potsdam
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du Methoden zur Datenintegration und -qualität, arbeitest an Projekten im Bereich Datenprofiling und Ontologie-Engineering und veröffentlichst deine Ergebnisse in internationalen Fachzeitschriften.
Deine Rolle im Team
- 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 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.
- 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).
Unsere Erwartungen an dich
Ausbildung
- Successfully completed master's degree in Computer Science or a related field.
Qualifikationen
- 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.
Erfahrung
- Experience in at least one of the following areas: data quality, data integration, data cleaning, ontology engineering.
Unser Angebot
- The positions are temporary and full-time for the purpose of obtaining a PhD.
- 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.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Hasso-Plattner-Institute
Das Hasso-Plattner-Institut ist ein privat finanziertes IT-Institut und bildet gemeinsam mit der Universität Potsdam die Digital Engineering Fakultät. Es ist in Potsdam-Babelsberg angesiedelt und erforscht praktische und angewandte Themen digitaler Technologien.
Description
- Gründungsjahr
- 1998
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Wissenschaft, Forschung