**APPLICATION CLOSING DATE: May 23rd, 2025**
- Marie Skłodowska‑Curie Doctoral Network (HORIZON‑MSCA‑2023‑DN‑01)_ _Human Technopole (HT), Milan - in collaboration with Humanitas University (HUNIMED)_ **Research Project** Antibiotic resistance emerges and spreads in complex microbial communities; yet most existing models focus on single species. This PhD project will develop mechanistic models grounded on microbial physiology to understand how interactions among mutually dependent bacteria influence: - ** Antibiotic tolerance** under more realistic community settings.
- ** Community-level perturbations**, tracing how environmental shifts or drug exposure propagate through interacting microbial systems.
- ** Evolutionary trajectories toward antimicrobial resistance**, linking tolerance to long‑term resistance evolution in systems where microbes interact. The fellow will integrate data from high throughput growth assays, timekill curves and multiomics data (transcriptomics/proteomics) to build and validate predictive models that can inform more effective antimicrobial interventions. Close collaboration with ENDAMR partners will provide complementary experimental datasets and expertise. **Training Environment**
- ** Interdisciplinary mentoring** in systems biology, quantitative microbiology, data analysis, mathematical modeling, and numerical methods.
- ** Specialised courses & network‑wide workshops** organised by the ENDAMR consortium.
- ** Secondments (up to 3 months)** at consortium partners such as Uppsala University and Umea University.
- ** Professional skills programme** covering science communication and career development beyond academia.



**Eligibility (MSCA Rules)**
- ** Mobility**: you must **not** have resided or carried out your main activity in _Italy_ for >12 months during the 36 months immediately before recruitment.
- ** Qualifications**: Master’s degree (or equivalent) in a field relevant to the project (e.g. Quantitative Biology, Systems Biology, Physics, Mathematics, Computer Science, Microbiology, Biochemistry).
- ** Career stage**: no PhD awarded and **< 30 years old** at the start of employment. **Essential Skills**
- Solid background in quantitative biology / mathematical modeling / physics / data science.
- Programming skills (the choice of language is flexible).
- Proficiency in English (spoken & written).
- Proven ability to work independently and as part of a multidisciplinary team. **Desirable Skills (not mandatory)**
- Wet-lab experience in microbiology or molecular biology (e.g. bacterial culture, cloning; in case of a hybrid project). **Application instructions**: - ** Cover letter** ( 1 page, _no AI-generated text_): motivation and relevant background. Applications containing ‘Esteemed Prof.’, or ‘join your esteemed lab’ are immediately discarded.
- ** Curriculum Vitae**,



including all information relevant to verify the MSCA eligibility criteria.
- ** Contact information for two reference letters (mandatory).**Please note that referees will be contacted in the later stages of selection
- ** Academic transcripts & certificates** (degrees, grades, other relevant qualifications). **Employment Conditions**
- ** Contract**: Italian National Contract of Pharmaceutical-chemical Industry - 3rd level apprenticeship full-time, 36 months (with possible 12-month extension to complete the PhD).
- ** Start date**: between **1 October 2025** and **31 December 2025**.
- ** Location**: Human Technopole campus, Milan, Italy.
- ** Salary & benefits**: competitive MSCA package
- ** Monthly living allowance**: monthly instalments before taxation and compulsory deductions of **3,300 euro**
- ** Monthly mobility allowance**: monthly instalments before taxation and compulsory deductions of** 600 euro**
- ** Monthly family allowance**, if applicable: monthly instalments before taxation and compulsory deductions of** 660 euro**
- The PhD student will devote **100 %** of working time to the ENDAMR project and doctoral training requirements.
- Costs related to research, training, and networking activities (e.g. secondments, visa fees, travel), will be covered. **Selection Process**
- ** Eligibility screening** (mobility rule & academic fit).
- ** Merit-based evaluation** and _online interviews_ led by Dr. Pinheiro. All procedures follow the principles of the **European Charter & Code for Researchers** and ensure gender balanced, fair and transparent recruitment. **Further Information

📌 Phd in Data Science for Medicine - Funded By European Union (Milano)
🏢 Human Technopole
📍 Milano