Tenure-track Assistant Professor “Machine Learning in the Life Sciences”

1000scholars; Wien; Ibrido; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Medical University of Vienna invites applications for a tenure-track Assistant Professor position in Machine Learning in the Life Sciences. The appointee will lead a new research group and develop novel AI/ML methods for medicine, biology, neuroscience, and healthcare.

A strong computational background and a commitment to teaching are essential. Eligibility requires a PhD obtained within the last eight years (subject to care duties).

Competenze

• PhD completed within the last eight years (as of 2 March 2027).
• Strong computational background with AI/ML methods applicable to life sciences.

Mansioni

• Establish and lead a new research group in AI/ML for medicine and life sciences.
• Contribute to graduate-level teaching and curriculum development.
• Engage in interdisciplinary collaboration and ambitious independent research.

Conoscenze

AI/ML background

Computational methods

Interdisciplinary collaboration

Formazione

PhD in a relevant field

Descrizione del lavoro

# Tenure-track Assistant Professor “Machine Learning in the Life Sciences”Medical University of ViennaVienna, AustriaFaculty / ProfessorMachine LearningNeurobiologyData ScienceNo deadline given## About the positionTenure-track Assistant Professor “Machine Learning in the Life Sciences” Medical University of Vienna Vienna, Austria The Medical University of Vienna is looking for excellent candidates to start a new research group in the field of Artificial Intelligence / Machine Learning (AI/ML) research in the broader context of medicine and the life sciences. This could, for instance, include novel AI/ML methods for fundamental or clinical research in any area of medicine, human biology & diseases, neuroscience, cognitive sciences, novel biology-inspired or clinical AI/ML methodology, the study of large real-world patient populations, novel AI/ML approaches in healthcare, the prevention of diseases, and healthy living/ageing. We appreciate a strong computational background and the ambition to develop novel methods, algorithms, or innovative applications. We are looking for a highly qualified scientist who will advance the field of “Machine Learning in the Life Sciences” with ambitious and novel approaches, enthusiasm for inter- and multidisciplinary research, and commitment to teaching. Eligible candidates should have received their PhD within the last eight years, as of 2 March 2027. Care duties may extend this period. Incoming Assistant Professors usually have prior postdoctoral research experience, but we are also considering candidates who are currently finishing an exceptionally successful PhD. The goal of the VRG program is to bring new expertise to Vienna. Please refer to the relevant WWTF guidelines. The position does not require any undergraduate teaching but comes with opportunities for graduate-level teaching and curriculum development. Apply Now Deadline 28 December Don't forget to mention EuroScienceJobs when applying.