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," and "Security," 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 looking for the earliest possible start date for a

PhD Position in Data Quality Assessment for Health Data (m/f/x)

​The position is funded for 3 years, with the possibility of extension, and can start at any time in Full-Time.

The research will be conducted within the research project QuAHD (“Quality Assessment for Health Data”), a collaboration between the Hasso Plattner Institute (HPI) bordering Berlin and the Mount Sinai Hospital in New York, USA. The focus of the research is on the automatic assessment of health data quality by specifically investigating the two dimensions of completeness and diversity. The overall goal of the project in pursuit of a PhD is to develop a model for health data quality assessment, which is also able to deal with changes in the data and can be executed efficiently.

Your tasks

• Solve scientific problems by conducting independent and goal-oriented research
• Collaborate closely in our team and with the project partners at the Mount Sinai Hospital in New York
• Publish research results in top-ranked database conferences and journals and present your research at scientific events
• Optionally: participate in teaching activities

Your profile

• An excellent master‘s or diploma degree in Computer Science (or a closely related field)
• Experience within the following areas are highly appreciated: data management, data integration, data quality, data profiling, machine learning
• Ability to develop methods, concepts, as well as their implementation and evaluation
• General interest in the health-care domain
• Organizational and analytical skills as well as a structured way of working
• Strong programming skills and experience with developing research prototypes
• Spoken and written communication skills in English
• Ability to work in a team, problem-solving skills, and creative thinking

What we offer

• A lively and collaborative work environment in a well-established research group with regular team meetings and exchange
• A professional skills colloquium within the Data & AI cluster for continuous improvement of research skills
• Funding for international travel to scientific conferences and at least three project-related trips to Mount Sinai Hospital in New York
• An outstanding setting to conduct top academic research with strong application in the health domain
• For over a decade, the Hasso Plattner Institute (HPI) has had the #1 ranked computer science program in Germany, according to the CHE Ranking - the main German academic ranking
• Working at the HPI campus in Potsdam-Babelsberg (S-Bahn station Griebnitzsee) bordering Berlin
• Numerous sports facilities (tennis and basketball courts, beach volleyball court, calisthenics park, and participation in running events)

We look forward to your application, which should contain a cover letter (including a motivation for the position, the preferred starting date, and a brief explanation of the applicant’s background), your CV, copies of certificates and grade sheets for all obtained degrees, and optionally a recommendation letter of at least one reference. Please apply exclusively via our career page.

Contact person HR-Recruiting

Tobias Pröchtel
+49 331 5509-425

Contact person Department

Dr. Lisa Ehrlinger

+49 331 5509-326