PhD and Postdoctoral Researcher in Digital Health

Join a cutting-edge research school at the Hasso Plattner Institute and University of Potsdam to advance digital health through data-driven innovation.

Best for:Best for researchers with a strong background in computer science, data science, or healthcare informatics who are passionate about applying digital technologies to improve health outcomes.

University of Potsdam · Potsdam, Germany · R1 · First-stage researcher

More professors at University of Potsdam

Digital health technologiesPrecision medicinePublic health analyticsHealthcare data managementDigital therapeuticsHealthcare equity and access

Deadline

Until filled

rolling

Funding

Scholarship

Full scholarship (tax-free) including research environment, mentorship, computing resources, and travel funding

Start date

Flexible (for doctoral programmes)

Full-time

Location

Potsdam

Germany

Overview

The Hasso Plattner Institute’s Research School in Digital Health offers a structured doctoral and postdoctoral programme focused on leveraging digital technologies to transform healthcare. Based in Potsdam, this initiative combines close mentorship from experienced professors and postdocs with access to advanced research facilities and international collaborations. Research spans prevention, diagnostics, therapy, and public health, addressing challenges like personalised medicine, population health, and economic aspects of digital health. The programme emphasizes interdisciplinary collaboration, with opportunities to engage with partners in Germany, the USA, and South Africa.

Digital health researchHealthcare data analyticsPrecision medicinePublic health informaticsInterdisciplinary healthcare researchDigital transformation in healthcareData-driven healthcare solutionsHealthcare innovation

What you'll do

Conduct independent and collaborative research in digital health, focusing on data-driven solutions for prevention, diagnostics, therapy, and public health.
Develop and implement innovative methodologies for analysing healthcare data to improve patient outcomes and healthcare efficiency.
Collaborate with international partners and research institutions to exchange knowledge and foster interdisciplinary research projects.
Present research findings at academic conferences and workshops, both nationally and internationally.
Participate in weekly academic meetings and structured thesis advisory committee (TAC) sessions to review progress and set research goals.
Engage in structured training and professional development activities to enhance research and career skills.

Requirements

Degree required: Master's degree (or equivalent) in Computer Science, Digital Health, Healthcare Informatics, Data Science, or a related field. For postdoctoral positions, a PhD in a relevant discipline is required.

Degree offered: PhD

Language: English (no minimum proficiency level specified)

Instruction: English (primary) and German (secondary)

Required skills

Strong background in computer science, data science, or healthcare informatics
Proficiency in data analysis, machine learning, or related computational techniques
Experience with healthcare data management and analytics
Ability to conduct interdisciplinary research and collaborate with diverse teams
Excellent written and verbal communication skills in English

Nice to have

Experience with digital health technologies or healthcare informatics toolsFamiliarity with international research collaborations and partnershipsPrior involvement in public health or healthcare policy research

Eligibility

No specific nationality or residency restrictions mentioned
No age limits specified
No prior experience caps mentioned

Funding & terms

Type

Scholarship

Amount

Full scholarship (tax-free) including research environment, mentorship, computing resources, and travel funding

Duration

8 semesters (PhD) or as per postdoctoral agreement

Programme

HPI Research School Scholarship

Hasso Plattner Institute (HPI) and University of Potsdam

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake: Not confirmed by the source
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How to apply

Applicants must submit a curriculum vitae, copies of certificates and transcripts, a brief research proposal indicating suitable HPI research groups, work samples or relevant scientific work, and a letter of recommendation. Applications should be sent via email to the respective Research School speaker.

Documents required