Summary
The St. Anna Children’s Cancer Research Institute (CCRI), Vienna, invites applications for a fully funded PhD position in Computational Cancer Research within the George Cresswell Group. The position focuses on advanced data-driven cancer research using large-scale genomic and clinical datasets, with strong emphasis on machine learning, predictive modelling, and translational biomedical impact. The successful candidate will work in a highly interdisciplinary environment bridging biology, computational science, and clinical oncology.
PhD Scholarship in Computational Cancer Research – St. Anna CCRI Vienna, Austria
Designation
PhD Student (f/m/d) – Computational Cancer Research
Scholarship Details
| Particulars | Details |
|---|---|
| Position | PhD Student (Computational Cancer Research) |
| Research Group | George Cresswell Group |
| Institution | St. Anna Children’s Cancer Research Institute (CCRI) |
| Location | Vienna, Austria |
| Working Hours | Full-time |
| Salary | PhD salary according to FWF (Austrian Science Fund) |
| Application Deadline | 17 July 2026 |
| Contact | vanessa.kuehl@ccri.at |
| Research Type | Computational / Translational Cancer Research |
Research Area
- Computational Cancer Biology
- Bioinformatics
- Genomics & Next-Generation Sequencing (NGS)
- Machine Learning in Biomedicine
- Precision Medicine
- Predictive Modeling (e.g., relapse risk prediction)
- Data Science in Healthcare
- Integrative Multi-omics Analysis
Location
Vienna
St. Anna Children’s Cancer Research Institute (CCRI), Vienna, Austria
Eligibility / Qualification
Essential Requirements
- Master’s degree (or equivalent) in:
- Bioinformatics
- Computer Science
- Statistics
- Genetics
- Precision Medicine
- Related fields
- Strong programming skills in Python, R, and/or Bash
- Solid understanding of statistics and data analysis
- Background in molecular biology or genetics (preferred)
- Strong English communication skills (written and spoken)
- High motivation, curiosity, and collaborative mindset
Preferred Skills
- Experience with NGS data analysis or genome-wide datasets
- Familiarity with machine learning techniques in bioinformatics
- Prior exposure to cancer research is an advantage
Job Description
The PhD candidate will join a multidisciplinary team and contribute to cutting-edge computational oncology research.
Key Responsibilities
- Data-driven research
- Analyze multi-modal datasets (whole genome sequencing, targeted sequencing, drug sensitivity screens)
- Apply and develop computational workflows for large-scale biological data
- Integrative modelling
- Build predictive models for cancer outcomes (e.g., relapse risk prediction)
- Integrate diverse biological and clinical data sources
- Independent research
- Design and execute a PhD research project
- Develop innovative computational approaches with scientific rigor
- Scientific communication
- Publish in peer-reviewed journals
- Present research at international conferences
- Apply for fellowships and funding opportunities
- Collaboration
- Work closely with clinicians, biologists, and data scientists
- Participate in an active interdisciplinary research environment
Scholarship Benefits
- Competitive PhD salary according to FWF (Austrian Science Fund) standards
- Access to state-of-the-art biomedical research infrastructure
- Strong international academic network
- Collaborative and interdisciplinary research environment
- Regular PhD networking and development events
- Opportunity to work on clinically relevant translational cancer research
- Prime research location in Vienna, Austria
How to Apply
Applicants must submit:
- Curriculum Vitae (CV)
- Cover Letter
- Contact details of 2–3 academic referees
Application Email / Portal
Subject line (recommended): PhD Computational Cancer Research – Cresswell Group
Last Date for Apply
📅 17 July 2026
Applications will be reviewed on a rolling basis until the position is filled.
