Human Technopole offers 17 fully funded PhD positions in AI computational biology genomics structural biology molecular medicine imaging and health data science at Italy's premier life sciences institute.
opportunity,17 Fully Funded PhD Positions at Human Technopole 2026,human-technopole-phd-programme-2026,phd_studentship,Human Technopole,,,Milan,,IT,europe,phd,artificial_intelligence|computational_biology|biology|data_science|medical_science,fully_funded,fixed,2026-09-18,18 September 2026 (DADS) 7 September 2026 (SEMM),Human Technopole offers 17 fully funded PhD positions in AI computational biology genomics structural biology molecular medicine imaging and health data science at Italy's premier life sciences institute.,"Basic Information - Full Programme Name: HT PhD Programme - Host Institution: Human Technopole Milan Italy - Location: MIND - Milan Innovation District Italy - Study Level: PhD - Positions: 17 fully funded positions - Duration: 4 years -
- Funding Type: Fully Funded (tuition stipend research costs)
- Deadlines: 12 positions via DADS (Politecnico di Milano): 30 July - 18 September 2026 - 5 positions via SEMM: 28 July - 7 September 2026
- Eligibility: Open worldwide
About the Programme
Human Technopole is Italy's national research institute for life sciences. The HT PhD Programme provides a unified interdisciplinary research experience delivered in partnership with internationally recognised universities. PhD students carry out research at Human Technopole working closely with HT Group Leaders in an international scientific community.
Available Projects & Research Areas
- AI Foundation Models for Electronic Health Records Data (Ganna Group)
- Foundation Models for Predicting Cancer Vulnerabilities (Iorio Group)
- AI for Computational Pathology (Casale Group)
- Reconstructing the paediatric AML immune ecosystem (Giustacchini Group)
- Primary cilia structure composition function (Pigino Group)
- Genetic determinants of altered B cell function (Soskic Group)
Partner Programmes
- DADS (12 positions): PhD in Data Analytics and Decision Sciences at Politecnico di Milano - focusing on health data science AI methods and population genomics
- SEMM (5 positions): PhD Programme in Systems Medicine - focusing on molecular biology cancer neuroscience genomics structural biology immunology
Eligibility Requirements
- Backgrounds: life sciences medicine biotechnology biomedical engineering mathematics physics statistics engineering computer science AI ML data science computational biology bioinformatics
- Master's degree (or equivalent) in relevant field
- No nationality restrictions - open to candidates worldwide
Funding Details
- Fully funded (stipend tuition research costs covered)
- Access to advanced technologies national facilities
- Structured mentoring dedicated PhD Office support
- Interdisciplinary ecosystem
How to Apply
1. Identify the HT research group and project matching your interests
2. Contact the Group Leader (send CV + short cover letter) to discuss fit
3. Apply through the official online platform of the relevant partner programme (DADS or SEMM)",Human Technopole|PhD|AI|Genomics|Computational Biology|Italy|Milan|Fully Funded|2026|Health Data Science,https://humantechnopole.it/en/ht-phd-programme,true,published,true,false,worldwide,Fully funded (tuition + stipend + research costs)
