
It applies AI, machine learning, deep learning, and data science on high performance computing to advance computational medicine, including medical imaging, computer vision, wearables, and robotics. As a center for personalized medicine, it collaborates with academia, clinicians, and industry to turn research into deployable tools. Its work spans digitizing healthcare, education in health-tech, and entrepreneurship to translate discoveries into services. Backed by European grants and a broad partnership network, Sano aims to become a leading European hub in computational medicine. It focuses on education in healthcare technology innovation and aims to translate research into practical applications and services.

It applies AI, machine learning, deep learning, and data science on high performance computing to advance computational medicine, including medical imaging, computer vision, wearables, and robotics. As a center for personalized medicine, it collaborates with academia, clinicians, and industry to turn research into deployable tools. Its work spans digitizing healthcare, education in health-tech, and entrepreneurship to translate discoveries into services. Backed by European grants and a broad partnership network, Sano aims to become a leading European hub in computational medicine. It focuses on education in healthcare technology innovation and aims to translate research into practical applications and services.
Sano PhD Student – 2 ThromboRisk
Project title: The role of musculoskeletal system and respiration on deep vein thrombosis - modelling lower limb haemodynamics – ThromboRisk (MSCA-DN)
Closing date : 28-Feb-2026
Level of education : Master’s degree (Early-stage Researcher)
Hours : 40 hours per week
: up to 11980 PLN gross monthly (base salary + mobility allowance) + family allowance of 495 EUR* (if applicable, subject to taxation) – MSCA Financial Guidelines apply
*NBP/National Bank of Poland exchange rate of 4,2239 PLN per 1 EUR valid on 16.12.2025
Supervisors : Sano: dr. Maciej Malawski (Sano Director)
Additional supervisors : prof. Vanessa Diaz, dr. Andrew Narracott, prof. Gabor Zavodszky
Project start : ASAP (no later than 31.10.2026)
Project duration : 36 months
Degree Awarding University : University of Amsterdam
At Sano, a PhD-position is available within the ThromboRisk project, a Marie Sklodowska-Curie Actions (MSCA) Doctoral Network funded by the EU. The position is open for appointment before the end of October 2026, with a duration of 36 months and is hosted by Sano and the University of Amsterdam.
Project Objectives
The project will address key challenges in understanding lower limb haemodynamics through the following objectives:
Expected Outcomes
The following secondments are planned:
What are you going to do?
You are expected to:
What do we require?
As our successful candidate you should have:
Eligibility criteria:
Our offer
The position is funded for 36 months with an expected start date before 31.10.2026. This will be supported by an educational plan that includes attendance of courses, international meetings and secondments. The contract will include opportunities to participate in teaching and supervision of undergraduate and master students.
This PhD will be a collaboration between Sano and University of Amsterdam. The student will be based in Poland, Krakow operating in conjunction with the Cyfronet supercomputing centre hosted by AGH.
Sano offers excellent opportunities for study and development, an access to many international conferences on computational medicine and a possibility to grow in a scientific society.
ThromboRisk – European Doctoral Network From cells to systems: Pioneering multi-level thrombosis risk prediction models, consortium is funded by the European Union under Grant Agreement No. 101227706. It groups 10 hiring universities: Eindhoven University of Technology (NL), University of Maastricht (NL), University of Amsterdam (NL), Catholic University Leuven (BE), Charité – Universitätsmedizin Berlin (DE), University College London (UK), Transsilvania University of Brasov (RO), SANO Centre for Computational Personalized Medicine (PL), University of Leeds (UK), and University of Bern (CH).
ThromboRisk will develop an integrated platform to advance our understanding of thrombosis across biological scales, combining mechanobiology, biochemistry, pathophysiology, and computational modelling. For this inclusion to occur, each DC will develop through their research a unique contribution to the multi-level thrombosis risk prediction framework, addressing specific aspects of thrombus formation, growth, rupture, and clinical impact. This hands-on training is supplemented with several scientific professional courses and an immersive training program where the DCs can fine-tune their skills for the jobs of tomorrow, while addressing the societal challenges of the ThromboRisk program.
Questions?
Do you have questions about this vacancy? Or do you want to know more about our organisation? Please contact us at m.golabek@sanoscience.org
About Sano
Sano Centre for Computational Medicine is an International Scientific Foundation located in Kraków, Poland.
Sano aspires to be a major translational scientific institute, operating at the meeting point of academic science, established MedTech industry, and emerging start-up environment, combining the best of these three perspectives.
Established with support from the European Commission and the Foundation for Polish Science, Sano aims to be a major driving force behind the advancement of computational medicine for the benefit of healthcare systems worldwide.
Sano acts as a core technology and expertise provider for industry, and creator of innovation, developing state-of-the-art solutions for healthcare. Thanks to the substantial funding and excellent European partnership network, Sano will bring a critical mass to this transformational field of research, in order to translate scientific advancements into clinical practice. Sano’s ambition is to become the Reference Centre for Computational Medicine in Central Europe and build a reputation as a leading institute on a global level.
As a cross-disciplinary institution, Sano uses machine learning/artificial intelligence (ML/AI), large scale computer simulations (HPC), data science, and other computational technologies towards overcoming global challenges in healthcare systems. The Research Agenda will be executed in close collaboration with Partners in Poland, EU and USA.
Job application
Sano is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.
Do you recognize yourself in the job profile? Then we look forward to receiving your application.
Applications in .pdf should include:
The recruitment process will involve an interview with a Recruitment Committee of at least two senior researchers at Sano and a separate competency-based interview with the Team Leader, discussing a provided scientific paper.
Apply: