Human Technopole is an Italian research institute dedicated to advancing understanding of biology and human health through interdisciplinary research. The institute provides access to advanced infrastructure, technologies and interdisciplinary expertise, alongside mentoring and guidance designed to support ambitious scientific research.
Why You Should Apply
Benefit
Description
Fully Funded
17 PhD positions with full funding
Prestigious Institute
Human Technopole
Interdisciplinary
AI, genomics, molecular medicine
Advanced Infrastructure
State-of-the-art facilities
International Environment
Global research community
Career Development
Mentorship and training
17 PhD Positions Across Two Programmes
Programme 1: Data Analytics and Decision Sciences (DADS) – 12 Positions
Detail
Information
Partner Institution
Politecnico di Milano
Positions
12
Research Areas
Data science, AI, computational biology, medicine
Deadline
18 September 2026
DADS Research Projects
Project
Focus
Morphodynamics of Cells
Cell shape biology
Biological Function of Cell Shape
Shape-to-function relationships
Noise Across Scales
Biological noise
Predicting Antibiotic Resistance
Evolution and resistance
Active Learning for Cell Tracking
Machine learning
Interpretable Microscopy Image Decomposition
Image analysis
AI Foundation Models for EHR
Health data
Large Language Models for Disease Prediction
NLP in health
Computational Genomics
Genomic analysis
Pangenome-Aware Single-Cell Transcriptomics
Single-cell genomics
Foundation Models for Cancer Vulnerabilities
Cancer research
AI for Computational Pathology
Pathology
Programme 2: SEMM PhD Programme in Systems Medicine – 5 Positions
Detail
Information
Partner Institution
SEMM
Positions
5
Research Areas
Biomedical research, molecular medicine
Deadline
7 September 2026
SEMM Research Projects
Project
Focus
Paediatric AML Immunotherapies
Cancer immunology
Thyroid Hormone Regulation
Molecular mechanisms
Primary Cilia Structure & Function
Cell biology
Cardiometabolic Diseases
Molecular dissection
B Cell Function in Immune Diseases
Immunology
Who Can Apply?
Discipline
Description
Life Sciences
Biology, biochemistry, molecular biology
Medicine
Medical and clinical research
Biotechnology
Biotech and biomedical engineering
Computer Science
Computing and programming
Mathematics
Mathematical modeling
Physics
Biophysics
Engineering
Biomedical and systems engineering
AI/ML
Artificial intelligence and machine learning
Data Science
Data analysis and bioinformatics
Research Areas
Area
Description
Artificial Intelligence
AI in health research
Computational Biology
Bioinformatics and modeling
Genomics
Genomic analysis and research
Structural Biology
Protein structures
Molecular Medicine
Disease mechanisms
Imaging
Microscopy and medical imaging
Health Data Science
Healthcare data analysis
Systems Medicine
Integrative biology
Application Process
Step
Action
1
Explore available PhD projects
2
Contact relevant Group Leader (CV + cover letter)
3
Discuss research interests and project suitability
4
Submit official application through DADS or SEMM platform
Graduates from life sciences, medicine, CS, engineering, AI, data science.
Q5. Is the PhD fully funded?
Yes.
Q6. Where is it located?
Italy.
Q7. What are the deadlines?
SEMM – 7 Sep 2026
DADS – 18 Sep 2026.
Q8. How to apply?
Contact Group Leader + Submit through official platform.
Q9. Can I contact a Group Leader?
Yes, with CV and cover letter.
Q10. What is the research environment?
Interdisciplinary and international.
CareerFlora Expert Insight
The Human Technopole PhD Programme offers an exceptional opportunity for graduates from diverse disciplines to pursue fully funded doctoral research at the intersection of AI, genomics, and health. With 17 positions available across two programmes, the research covers cutting-edge areas including computational biology, molecular medicine, and health data science.
The interdisciplinary research environment, access to advanced infrastructure, and international scientific community provide a strong foundation for early-career researchers.
Best Opportunity For
Category
Suitable
Life Sciences Graduates
Yes
Computer Science Graduates
Yes
AI/ML Enthusiasts
Yes
Engineering Graduates
Yes
Medical Graduates
Yes
International Students
Yes
Early-Career Researchers
Yes
Interdisciplinary Researchers
Yes
Competition Level
Category
Level
Overall Competition
High
Selection Difficulty
Competitive
Application Complexity
Medium
CareerFlora Recommendation
Area
Details
PhD Value
Excellent
Career Growth
Very High
Application Difficulty
Medium
Apply Early
Strongly Recommended
Final Call-to-Action
Apply for Human Technopole PhD Positions 2026 before the deadline.
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