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Doctoral (Ph.D.) Students / Postdoctoral Researchers in Digital Health

Six Positions for Doctoral (Ph.D.) Students / Postdoctoral Researchers in Digital Health with emphasis on Personalized Medicine and Solutions for Next-Generation HealthcareChair in Digital Health and Personalized Medicine.

Six Positions for Doctoral (Ph.D.) Students / Postdoctoral Researchers in Digital Health

At the Digital Health Center of the Hasso Plattner Institute, Prof. Dr. Erwin Böttinger, Chair in Digital Health and Personalized Medicine, is seeking highly-motivated individuals with proven track records of excellence, who aspire to create next-generation healthcare solutions embracing cloud-based, person-centric health data management, artificial intelligence and telemedicine.

Successful applicants will work with internationally-recognized teams based in Germany (Berlin-Potsdam), with extensive collaborations in the U.S. (New York City), and should have a demonstrated interest and record of achievement in one or more of the following areas of research (description of work/opportunities):

Areas of Work

  • Knowledge representation: extracting information from disparate data sources and making information interoperable across diverse information systems
  • Telemonitoring/medical sensor technologies: extracting useful and useable information from real-time sensor technologies and internet of things
  • Machine learning/deep learning: developing innovative methods for diagnosing health problems/predicting health outcomes in high-dimensional, heterogeneous data
  • Intelligent personal health assistance and/or clinical decision support agents: developing artificial intelligence solutions to improve health outcomes through supporting better personal health decisions and better clinical care decisions
  • Data sovereignty: Developing innovative electronic consent procedures that enable patient-/person-centric sovereignty concerning data access, sharing and use
  • Privacy protection: enhancing trust with advanced digital tools and methods for privacy protection, such as data de-identification (pseudonymization) and anonymization, or encryption

Qualifications

  • Master or PhD degrees in computer/data science, physics, mathematics, or equivalent degrees in medicine and advanced health sciences
  • Experience in data mining, computational statistics or machine learning / deep learning
  • Excellent skills in high-level programming languages
  • Self-reliance, goal-oriented creativity, dedication, team spirit and excellent English language skills.

Applications (in English) should contain a detailed curriculum vitae, a cover letter describing your research interests, previous experience and intended career path, and name and addresses of referees.The Hasso Plattner Institute is an equal opportunity employer. Position(s) are (initially) limited to two years. We are looking forward to receiving your application materials for earliest-possible start of employment.

Please send applications per Email to office-boettinger(at)hpi.de or via regular mail to

Hasso Plattner Institute for Digital Engineering gGmbH
Prof. Dr. Erwin Boettinger
P.O. Box (Postfach) 90 04 60
14440 Potsdam (near Berlin)