Human Technopole
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Fully Funded PhD in AI for Spatiotemporal Processes in Biomedicine Human Technopole in Italy
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Jul 1, 2026
Country
Italy
University
Human Technopole

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Keywords
About this position
Human Technopole is recruiting a fully funded PhD student for the project “AI for Spatiotemporal Processes in Biomedicine” in the Sottoriva Group, in collaboration with Politecnico di Milano and within the PhD Programme in Data Analytics and Decision Sciences.
This opportunity sits at the intersection of artificial intelligence, machine learning, computational biology, biomedicine, cancer genomics, cancer evolution, mathematical modelling, statistics, and computer science. The project aims to model how cancer and other biological systems evolve in space and time, making it a strong fit for students interested in quantitative approaches to complex biological processes.
The post explicitly says that no biomedical background is needed. Applicants from AI, data science, applied mathematics, physics, engineering, computational biology, statistics, or computer science are encouraged to apply. Curiosity, quantitative thinking, and motivation are highlighted as the key qualities.
The position is fully funded. The announcement does not specify a stipend amount, but it confirms funding support for the PhD. The application deadline is 1 July 2026.
To apply, use the admission link provided in the announcement and submit your application before the deadline. This is a strong opportunity for candidates who want to work in an international, interdisciplinary research environment at Human Technopole in Milan.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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