Postdoc Funke Lab

OverviewAPPLICATION CLOSING DATE : January 31st, 2026Join a place where ambitious science thrives. Human Technopole (Milan) is a rapidly expanding life science institute where international researchers and cutting‑edge technologies converge to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health.In this context, the Funke lab develops machine learning methods to accelerate scientific discovery with a focus on microscopy image analysis. Specifically, we are interested in the development of new methods to identify structures of interest in large datasets (detection, segmentation, and tracking), the creation of explainable AI methods to interrogate scientific datasets, and the design and implementation of mechanistic models of biological processes that work together with contemporary machine learning methods.Your MissionLead the development of novel probabilistic frameworks for cross‑modality predictions and explainable AI. Guide the development with concrete applications on biomedical datasets in mind. Publish your results in conference and journal publications, together with high‑quality, open‑sourced, and well‑documented software tools. Initiate collaborations, proactively identify impactful use cases, and mentor junior researchers.Grow your skillsThe Human Technopole is a unique environment at the intersection of many disciplines of the life sciences. In the Funke lab, you will have the opportunity to apply and grow your skills by- Leading interdisciplinary research projects in collaboration with experimental labs.- Being closely involved in the experimental design, data generation process, and analysis.- Writing efficient, reusable, and elegant code that can be used by others to build on top of, or directly by experimentalists for their data analysis needs.- Mentoring junior researchers and communicating your results amongst peers.Additionally, the Human Technopole supports career development through training, mentoring and dedicated learning opportunities.What You’ll BringEssential: A Ph.D. in Computer Science, Physics, Engineering, Biology, or related fields.Experience with machine learning and probabilistic modelling.Experience with scientific python packages.A track record of impactful scientific contributions (papers, scientific software, high ranking in scientific competitions, or other significant research outputs).PreferredStrong track record of machine learning in the life sciences.Experience working with medical and biological image datasets.Familiarity with generative modeling (GANs, VAEs, diffusion models, normalizing flows, etc.).Experience with explainable AI.Organizational And Social SkillsAbility to initiate, lead, and sustain scientific collaborations.Excellent communication and mentoring abilities.At HT, your discoveries contribute to a global effort to improve human health.Why Human TechnopoleHT offers an international and dynamic workplace, competitive welfare provisions, flexible working policies and relocation support. Researchers moving to Italy may benefit from attractive tax benefits. We promote work–life balance and provide parental support initiatives.SubmitHow to applyCVMotivation letter (English)Contact details of two refereesThis is a 4‑year contract offered under CCNL Chimico Farmaceutico, Employee Level B2Salary : up to € 43.000,00 depending on the candidate’s seniority.The position is based in Milan, Italy, within our vibrant international campus.We strongly encourage applications from candidates belonging to protected categories (L. 68 / 99).The Foundation reserves the right, at its sole discretion, to extend, suspend, modify, revoke, or cancel this job posting without giving rise to any rights or claims whatsoever in favor of the candidates; the Foundation reserves, however, the right not to proceed with the awarding of the above‑described assignment due to the effect of supervening regulatory provisions and / or obstructive circumstances.J-18808-LjbffrPostdoc Funke Lab • Turbigo, Lombardy, ITALY#J-18808-Ljbffr