University Assistant (Praedoc) in AI and Cancer Research
Join the Medical University of Innsbruck as a Praedoc University Assistant focusing on AI applications in metastatic cancer.
Best for:Best for computer science or AI graduates with strong Python and machine learning skills interested in computational oncology and multi-omic data integration.
Overview
The Medical University of Innsbruck is seeking a University Assistant (Praedoc) to join the University Clinic for Urology for a fixed-term contract of four years. The successful candidate will engage in cutting-edge research mapping and predicting the origin of chromosomal instability in metastatic cancer, alongside contributing to teaching and administrative duties. The project integrates artificial intelligence with biological data, such as multi-omic and imaging datasets from mouse models and patient samples. Applicants are expected to have a strong background in computer science, artificial intelligence, or data science, with a collaborative mindset and an eagerness to advance research in oncology.
What you'll do
- Conduct independent academic research focused on mapping and predicting the origin of chromosomal instability in metastatic cancer.
- Develop and implement machine learning or artificial intelligence algorithms for analyzing complex biological and medical datasets.
- Integrate multi-omic and imaging data derived from mouse models and patient samples, including single-cell or spatial transcriptomics and CRISPR perturbation data.
- Contribute to teaching activities and student instruction within the department.
- Participate in administrative tasks and departmental duties as required.
- Collaborate effectively with multidisciplinary teams of scientists, clinicians, and researchers.
Requirements
Degree required: Master’s degree in Computer Science, Artificial Intelligence, or Data Science
Degree offered: PhD
Language: Very good written and spoken English skills
Instruction: English
- Proven ability to independently carry out artificial intelligence or machine learning projects
- Solid programming skills in Python
- Willingness to contribute actively to both research and teaching obligations
- Ability to collaborate smoothly with scientists from diverse disciplinary backgrounds
Funding & terms
How to apply
Deadline: 2026-10-28 (Europe/Vienna)
Interested candidates must submit their application through the online recruitment portal by the specified deadline. Ensure all required documentation is uploaded correctly according to the institution's guidelines.
- CV
- Master’s degree certificate
Contact
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