International PhD Positions in AI for Biomedicine
Join AITHYRA’s groundbreaking PhD programme to advance AI-driven biomedical research in Vienna.
Best for:Best for interdisciplinary researchers with backgrounds in machine learning, life sciences, or mixed fields who are passionate about applying AI to biomedical challenges and want to work in a collaborative, international research environment.
Overview
AITHYRA, a research institute at the Austrian Academy of Sciences in Vienna, invites applications for fully funded PhD positions at the intersection of artificial intelligence and biomedical sciences. This interdisciplinary programme aims to integrate AI/ML with experimental biology, chemistry, and medicine to decode and reprogram biological systems, targeting diseases like cancer, immunology, and neurodegenerative disorders. Applicants with backgrounds in machine learning, life sciences, or mixed disciplines are encouraged to apply. The programme offers a collaborative, international environment with state-of-the-art technologies, mentorship from leading scientists, and a supportive peer network. Successful candidates will contribute to cutting-edge research while developing skills in entrepreneurship and translational science.
What you'll do
- Conduct cutting-edge research at the intersection of AI/ML and biomedical sciences, focusing on decoding molecular mechanisms and therapeutic design.
- Develop and apply advanced machine learning techniques (e.g., geometric deep learning, generative models) to biological and medical data.
- Collaborate with experimental biologists, chemists, and roboticists to integrate computational models with wet-lab and high-throughput experimental approaches.
- Contribute to the design and execution of research projects aimed at understanding and reprogramming biological systems for disease intervention.
- Participate in a highly interactive PhD programme with mentorship from leading scientists and interdisciplinary peer groups.
- Develop entrepreneurship skills to translate research findings into practical applications, tools, or startups.
- Present research findings at international conferences and publish in top-tier journals.
- Engage in continuous learning and skill development in both computational and experimental domains.
Requirements
Degree required: Master’s degree in computer science, computational biology, bioengineering, engineering, physics, statistics, mathematics, medicine, biology, chemistry, or a related scientific or technical field (or equivalent qualification to be obtained by September 2027).
Degree offered: PhD
Language: English; proficiency sufficient for academic research and collaboration (no formal test score required but implied).
Instruction: English
- Strong foundation in quantitative fields such as computer science, bioinformatics, mathematics, or physics, or a solid background in life sciences with a willingness to learn computational methods.
- Experience or willingness to work in either computational modeling (dry lab) or experimental bench work (wet lab).
- Ability to communicate effectively across interdisciplinary teams and collaborate in a multicultural environment.
- Passion for applying AI/ML to solve pressing biomedical challenges.
- Commitment to interdisciplinary research and problem-solving.
- Open to applicants of all genders and nationalities.
- No age restrictions.
- Applicants must hold or be on track to obtain a master’s degree by September 2027.
- No prior experience caps, but interdisciplinary mindset and collaborative skills are highly valued.
Funding & terms
How to apply
Deadline: 2026-11-01
Applicants must submit their application through the official AITHYRA PhD programme portal. The application process includes providing academic transcripts, a CV, a research statement, and letters of recommendation. Interviews will be conducted between January 27-29, 2027. Detailed application guidelines and a timeline are available on the AITHYRA PhD website.
- CV
- Academic transcripts (BSc and MSc)
- Research statement or proposal
- Letters of recommendation (number not specified)
- Proof of English proficiency (if applicable)
Contact
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