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Spiros Denaxas

2 months ago

PhD Student - Computational Medicine and Health Data Science Interdisciplinary Transformation University (IT:U) in Austria

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Austria

University

Interdisciplinary Transformation University

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Where to contact

Official Email

Keywords

Computer Science
Data Science
Python Programming
Data Mining
Medical Science
Salud Pública
Multimorbidity
Bioinformatic
Electronic Health Record
Informatic
Machine learning

About this position

Interdisciplinary Transformation University (IT:U) in Austria invites applications for a PhD Student position in Computational Medicine and Health Data Science. As Austria’s first public interdisciplinary university dedicated to digital transformation, IT:U offers a unique environment for research at the intersection of medicine, data science, and informatics. The successful candidate will join the IT:U Doctoral School’s PhD Program COMPUTATIONAL X, working under the supervision of Professor Spiros Denaxas.

This four-year, full-time position is based in Linz, Austria, with a start date in March 2026. The research will focus on leveraging electronic health records (EHR) to understand disease mechanisms, multimorbidity, and patient journeys. The project aims to synthesize international findings, identify comorbidity patterns, and develop anticipatory models for healthcare planning. Candidates will explore advanced computational methods, utilize biomedical ontologies, and contribute to the development of enriched multimorbidity networks.

The position offers a multidisciplinary lab environment with strong international collaborations, including opportunities for short research stays in the UK. Students will benefit from professional and personal development opportunities, participation in national and international conferences, and involvement in academic teaching and research funding applications. The program structure includes focused group work, research lab modules, and interdisciplinary seminars, culminating in the submission and defense of the PhD thesis after four years.

Applicants must have a master’s degree or equivalent in computer science, medical informatics, health data science, bioinformatics, or a related field. Required skills include experience with large-scale biomedical data, EHR, analytical pipelines, and biomedical ontologies (e.g., SNOMED, ICD-10). Fluency in English (CEFR C1 or equivalent) and Python is essential. The position offers a competitive gross salary starting from EUR 3,714.80 per month (full-time, 40h) and includes the Austrian KlimaTicket Ö for unlimited public transportation within Austria.

To apply, candidates should complete the online application form at https://apply.it-u.at/ and upload a CV, diplomas, transcripts, a motivational letter, and up to three recommendation contacts. For questions or expressions of interest, contact Professor Spiros Denaxas at [email protected]. The application deadline is January 31, 2026. IT:U values diversity and encourages applications from all backgrounds.

Funding details

Available

What's required

Applicants must hold a master's degree or equivalent in computer science, medical informatics, health data science, bioinformatics, or a similar field. Experience with large-scale biomedical data, including electronic health records, and building reproducible analytical pipelines following best practices is required. Familiarity with biomedical ontologies such as SNOMED and ICD-10 is expected. Candidates must be fluent in English (CEFR C1 or equivalent) and Python, able to work independently and as part of a multidisciplinary team, and motivated to work at the intersection of medicine and health data science.

How to apply

Fill in the online application form and upload your documents at https://apply.it-u.at/. Required documents include CV, bachelor's and master's diplomas and transcripts, a motivational letter (max. 1 page), and up to 3 contacts for recommendations. For questions, contact Professor Spiros Denaxas at [email protected].

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