Physics-Informed Digital Twins for Breast-Cancer Invasiveness Scoring - 2026_CDR_DMAT_1

Italian Ministry of Education, University and Research; Italia; On-site; EUR 50,000 - 70,000; Full time

Job summary

Politecnico di Milano invites applications for researchers to develop physics-informed digital twins for the assessment of breast-cancer invasiveness. The project integrates mechanistic models of tumour growth with experimental data from in vitro multicellular systems.

Focus areas include tumour–microenvironment interactions, data assimilation and uncertainty quantification. English language skills and international collaboration are relevant to the role.

Qualifications

• Develop physics-informed digital twins for quantitative cancer assessment.
• Work on mechanistic tumour growth and invasion models with experimental data.

Responsibilities

• Design and implement digital twin frameworks for breast cancer invasiveness.
• Integrate data from in vitro multicellular systems with theoretical models; perform uncertainty quantification.

Skills

Mathematical modelling

Biophysics

Data assimilation

Scientific programming

Job description

Organisation/Company Politecnico di Milano Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 3 Dec 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The research programme aims to develop physics-informed digital twins for the quantitative assessment of breast-cancer invasiveness. The activity will integrate mechanistic models of tumour growth and invasion with experimental data obtained from in vitro multicellular systems. Particular attention will be devoted to tumour–microenvironment interactions, including active wetting, tissue remodelling, adhesion, friction, traction and cell migration. The physical matematical models will be used to identify latent biomechanical parameters, such as surface tension, viscosity, active stresses, adhesion and friction properties. Physics-informed surrogate models will also be developed to accelerate simulations and parameter identification. The framework will incorporate data assimilation and uncertainty quantification.

Quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 15 points)

Relevance and significance of previous research activities and professional experience in relation to the research program (up to 40 points)

Relevance and significance of submitted publications with respect to the research program (up to 30 points)

Interview, aimed at assessing the candidate’s research aptitude, their ability to implement the proposed project, and their knowledge of English and/or other relevant languages for the research (up to 15 points)

• EUROPE

Eligibility of fellows: country/ies of residence:

• All

Eligibility of fellows: nationality/ies: