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08 Feb 2024 by LBI-dhp

Postdoc (f/m/x) in Data Science and Digital Health Systems Engineering

You are enthusiastic to create and shape novel digital health solutions?

Tasks:

  • Conduct research on adaptivity and personalization of digital and mobile health technologies, including applications of recent advances in machine learning and artificial intelligence
  • Research practical data analytics strategies for a long-term integration of multiple data-streams, including continuous sensor data
  • Design studies and accompany the implementation of digital health systems
  • Conduct research on technology-assisted behavior change and decision support systems
  • Contribute to the development of a user-friendly mHealth platform
  • Collaborate in clinical studies of novel technology-assisted interventions
  • Work collaboratively in a highly interdisciplinary and international team
  • Co-supervise PhD-candidates, master students and interns
  • Lead on – and contribute to – collaborative, interdisciplinary publications and proposals

Qualifications:

  • PhD and portfolio of internationally recognized (English language) publications in the areas of (applied) data science and/or (digital health) multi-device systems engineering
  • Expertise in software development, ideally including backend and/or middleware, as well as experience with (near-)real-time data processing and analytics
  • Expertise in methods and conduct of system evaluations and studies
  • Experience in data analytics with longitudinal / timeseries data
  • Experience with machine learning / artificial intelligence for personalization and/or adaptive systems and/or user modeling
  • Independent work style and high self-motivation
  • Interest in complex and challenging tasks and topics
  • Excellent problem-solving skills, flexibility, resilience, and teamwork ability
  • Excellent conduct of the English language; German skills welcome but not strictly required

Details:

Work hours: 40 hours per week (lower percentage can be subject to negotiation)
Location: Ludwig Boltzmann Institute for Digital Health and Prevention at the University Hospital of Salzburg (SALK), Lindhofstrasse 22, 5020 Salzburg, Austria
Earliest start: 2024 April 01; post can be filled as soon as a viable candidate is found
Duration: 24 months (2 years)

For informal queries please feel encouraged to contact Dr.-Ing. Jan Smeddinck: wna.fzrqqvapx@quc.yot.np.ng
Please send your application including CV, three selected publications, as well as optionally a portfolio of your research, implementation, and/or other work and project experiences in any format (PDF, GitHub, website, etc., links to common trusted cloud storage providers are fine for larger file sizes) to bssvpr@quc.yot.np.ng until 2024 February 29. (Application documents can optionally be encrypted using the PGP key at: https://drive.google.com/file/d/1kKxtvtURRHqfq8seTTVxV1hzScDgQ6Yf.)