WE SEARCH FOR

We are looking for postdoctoral fellows who are eager to become intellectual leaders in complex systems research, its applications in network medicine and health data science and who share our commitment to the betterment of society and our planet through science. We support early-career researchers who are taking their initial steps toward leading a complexity science research group, and who desire not only research experience but also professional skills to enhance their future careers. The prospective candidate will be expected to develop new precision medicine approaches to improve well-being by linking large-scale observational health data with physiological and omics data.

YOUR PROFILE

• Doctoral (PhD, Doctor, or equivalent) degree in the natural, physical, or social sciences, mathematics, computer science, engineering, or related disciplines with a strong quantitative foundation; experience in applying these quantitative skills in the domains of clinical research, bioinformatics, epidemiology, public health, or related fields.
• Evidence of successful research productivity – journal articles, books/chapters, conference presentations, computational packages, databases or dashboards etc. – as specific to your discipline.
• Proficiency in English

WE OFFER

• Fully funded postdoc position embedded in an interdisciplinary team working in close collaboration with a newly founded research institute for network medicine.
• Individualized guidance from an international team of advisors
• Scientific leadership and professional development workshops
• Practical experience aligned with career goals in academia, government, or industry
• Training in ethical and technical facets of working with real-world data

APPLICATION

Please submit your application materials exclusively through this job platform. Your application should include:

• your CV and
• a cover letter, containing an outline of the kind of research you would be interested in pursuing with us

CSH is committed to the principle of equal employment opportunity for all applicants. All employment decisions are therefore based on job requirements, qualifications, merit, and organizational needs. We strongly encourage individuals from underrepresented groups to apply. We process your personal data in accordance with the law (www.csh.ac.at/data-protection/).