13 Salaried PhD Studentships in AI/ML and Lifesciences in Vienna
Fully funded doctoral positions combining clinical, experimental, and computational approaches at the Medical University of Vienna.
Best for:Best for master's graduates in computer science, life sciences, or medicine aiming for a structured doctoral track in biomedical research.
Overview
The Medical University of Vienna offers fully funded PhD studentships across multiple cutting-edge doctoral programs bridging fundamental discovery and clinical application. Successful candidates will design and execute an original research project within a supportive academic network of expert supervisors. The structured training environment is tailored to foster scientific independence and build specialist technical expertise. Scholars from diverse backgrounds in medicine, life sciences, engineering, and computer science are invited to participate.
What you'll do
- Develop and execute an independent, original doctoral research project aligned with one of the offered doctoral programs
- Collaborate with multidisciplinary teams spanning clinical, experimental, and computational domains
- Participate in structured doctoral training courses and professional development workshops
- Analyze complex datasets using advanced machine learning, statistical, or bioinformatics tools
- Prepare manuscripts for publication in peer-reviewed scientific journals
- Present research findings at national and international academic conferences
Requirements
Degree required: Master Degree or equivalent
Degree offered: PhD
Language: ENGLISH; Level: Excellent
Instruction: English
- Strong academic background in life sciences, computer science, medicine, mathematics, or engineering
- Demonstrated interest in interdisciplinary biomedical or computational research
- Ability to work independently and collaboratively within a research team
- Strong analytical and problem-solving skills
- Applicants must hold a Master's degree or equivalent qualification by the start of the contract
- Open to international and domestic applicants from relevant scientific disciplines
Funding & terms
How to apply
Deadline: 2026-11-22 (Europe/Vienna)
Review the available projects on the official recruitment website and submit your application through the online application portal. Prior contact with a supervisor is not required.
- CV
- Master's transcripts
- Cover letter
Contact
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