Publisher
source

University of Florence

PhD Position in Spatial Single-Cell Omics, Melanoma Biology, and Computational Pathology at University of Florence University of Florence in Italy

Degree Level

PhD

Field of study

Computer Science

Funding

MSCA Doctoral Network funded PhD position with a 36-month salary. Funding includes a living allowance of €4,010 per person month (subject to country correction coefficient), a mobility allowance of €710 per person month, and a family allowance of €660 per person month if applicable. Amounts are gross and subject to deductions under national law.

Deadline

Aug 31, 2026

Country flag

Country

Italy

University

University of Florence

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Suggested positions

Keywords

Computer Science
Molecular Biology
Biomarker Research
Biomedical Engineering
Biology
Cancer Research
Medical Science
Tumor Microenvironment
Bioimaging

About this position

Doctoral Candidate / PhD position in the SPACE-MEL MSCA Doctoral Network at the University of Florence (Università degli Studi di Firenze), Italy.

This project sits at the intersection of biology, medical science, computational pathology, spatial single-cell omics, and melanoma research. The DC13 project focuses on mucosal melanomas (MuM) and aims to investigate microenvironmental and sub-clonal heterogeneity during progression, using spatial multi-omics, longitudinal tissue analysis, pseudotime modelling, and computational tools to identify spatial and cellular drivers of metastasis and treatment-induced relapse.

The PhD candidate will be based at the Advanced Bioimaging Research Center (ABiR), Department of Health Sciences, University of Florence, under the supervision of Prof. Daniela Massi. The host lab specializes in tumour microenvironment research and computational pathology in human tumour tissues, with access to advanced imaging and analysis platforms. The project also includes international secondments at SANOFI in Gentilly, France, and Diatech Pharmacogenetics S.r.l. in Iesi, Italy.

Funding: MSCA-DN support for 36 months, including living allowance, mobility allowance, and family allowance if applicable. This is a funded doctoral position, not a self-funded one.

Eligibility highlights: Master’s degree or equivalent in Biology, Medicine, Dentistry, Biotechnology, or a related field; applicants must not already hold a PhD. Strong interest in melanoma biology, tumour microenvironment, biomarker discovery, translational cancer research, histology/pathology, immunohistochemistry, omics, and computational analysis is expected. English proficiency is required, with proof via IELTS/TOEFL/Cambridge English or possible exemption in specific cases. The MSCA mobility rule applies.

Deadline: 31 August 2026, 13:00 (Europe/Rome).

How to apply: Send the application by email to [email protected] with the required documents: motivation letter, master’s diploma, transcript/diploma supplement, CV, proof of achievements, and data-processing consent. A reference letter is optional.

Funding details

MSCA Doctoral Network funded PhD position with a 36-month salary. Funding includes a living allowance of €4,010 per person month (subject to country correction coefficient), a mobility allowance of €710 per person month, and a family allowance of €660 per person month if applicable. Amounts are gross and subject to deductions under national law.

What's required

Master degree or equivalent in Biology, Medicine, Dentistry, Biotechnology, or a related field; applicants must not already hold a doctoral degree. Strong background in biology, biotechnology, molecular biology, cancer biology, pathology, computational biology, or a related biomedical discipline is preferred. Candidates should have interest in melanoma biology, tumour microenvironment, tumour progression, biomarker discovery, translational cancer research, spatial biology, and single-cell/spatial omics. Basic knowledge of histology, pathology, immunohistochemistry, molecular biology and/or omics-based approaches is desirable, as are basic computational skills or willingness to develop them; experience with R, Python, or bioinformatic workflows is an advantage. Applicants must be able to work with human biological material and clinical data, work independently and in teams, travel for secondments, and demonstrate proficiency in English; proof of IELTS, TOEFL, Cambridge English, or exemption based on native-English background or English-taught degree may be required.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?