AI Expert | Human Technopole, Milan

Build the science that shapes the future of human health.
Application closing date: 03.04.2026

Join 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.

Within this mission, we are seeking two highly skilled AI Experts, reporting to the Head of the Center, to operate at the interface of deep learning, computational biology, and applied AI. The position is embedded in the Scientific AI Flagship within the Jug and Funke groups. This Flagship is HT’s major multi-year initiative to establish the institute as a leader in AI-driven biological and biomedical research.

Your work will focus on dynamic, short-cycle AI consultancy, prototyping, and collaborative research across the institute, with projects ranging from microscopy-based phenotyping to functional genomics, multi-omics integration, and computational pathology.

Your mission

• Develop trustworthy cross-scale AI methods for multimodal biological and clinical data.
• Enable predictive and generative AI as a backbone for scientific discovery at HT.
• Provide institute-wide AI expertise through the transversal Science Facilitation Hub.
• Conduct cutting-edge research on the design, adaptation, and validation of AI methods addressing strategic biological and biomedical questions at HT.
• Develop, extend, and rigorously evaluate advanced machine learning and deep learning architectures for multimodal biological data, ensuring robustness, reproducibility, and methodological innovation.
• Translate scientific challenges into novel AI frameworks and proof-of-concept systems that can evolve into full research projects and high-impact publications.
• Collaborate across Research Centres and with external partners to co-develop FAIR data standards, scalable AI workflows, and integrative computational strategies.
• Contribute to the Scientific AI Flagship’s long-term vision through publications, grant writing, mentoring, and dissemination of reusable models, code, and methodological best practices.

Grow your skills
You will enhance your scientific and professional skills by working with:

• a diverse team of international scientists and engineers tackling biomedical questions that aim to advance our understanding of human health and disease,
• experienced AI researchers developing methods that accelerate scientific discovery across the life sciences,
• cutting-edge machine learning models and computational approaches that you will translate into robust, user-friendly workflows and research tools,
• state-of-the-art computational infrastructure, including a powerful on-premise HPC system designed for modern AI workloads,
• an active international open-source community contributing to and building upon widely used scientific software, and
• dedicated technology transfer professionals who support the translation of promising ideas into real-world impact beyond purely academic applications.

Human Technopole supports career development through training, mentoring and dedicated learning opportunities.

What you'll bring

Essential requirements:

• A PhD in Computer Science, Artificial Intelligence, Computational Biology, Physics, Engineering, Bioinformatics, or a related quantitative field.
• Strong experience in machine learning and deep learning, including model development, training, evaluation, and deployment.
• Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow, together with the broader scientific Python ecosystem.
• Solid understanding of core AI/ML concepts relevant to the Flagship, such as multimodal learning, representation learning, generative models, uncertainty quantification, or model calibration.
• Experience applying data-driven methods to complex datasets, for example in tasks such as segmentation, representation learning, or self-supervised learning on biological data.
• A strong track record of research, innovation, or impactful projects in artificial intelligence or machine learning.
• Experience developing robust research software or computational tools in projects involving AI or machine learning components.
• Good familiarity with modern software engineering and collaborative development practices, such as Git/GitHub, testing, CI/CD, and reproducible workflows.

Preferred expertise:

Experience in one or more of the following will be considered a strong asset:

• Familiarity with biological or biomedical concepts relevant to research areas represented at Human Technopole.
• Experience applying AI or machine learning to life-science data, such as microscopy (2D/3D, fluorescence, EM, CLEM, etc.), sequencing or multi-omics data, spatial transcriptomics, clinical datasets, or imaging-based phenotyping.
• Experience working with large-scale biological datasets and high-performance computing environments.
• Experience integrating heterogeneous biological data modalities, such as linking imaging, genomics, and other omics measurements.
• Practical familiarity with biological data generation and analysis workflows in areas such as microscopy, genomics, or computational pathology.
• Experience translating research prototypes into robust, reusable software tools or scalable data-analysis workflows.

Organisational and social skills

• Strong analytical thinking and the ability to translate complex scientific questions into computational approaches.
• Ability to work effectively in interdisciplinary teams spanning computational and experimental research.
• Clear and effective communication of technical concepts to audiences with diverse scientific backgrounds.
• Proactive, collaborative mindset with the ability to drive projects from initial idea to working prototype, in some cases beyond.

At HT, your discoveries contribute to a global effort to improve human health.

Why Human Technopole
HT 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.

How to apply

Submit:

• CV

• Motivation letter (English)

• Contact details of two referees

This is a 5-year contract offered under CCNL Chimico Farmaceutico, Level B1

Salary: up to € 68.000,00 depending on the candidate’s seniority and level of experience.
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).