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Computer Science● OpenPreview

FaceTwin Project: PhD and Postdoc Research Positions

Join an upcoming FNP-funded project developing digital twins of facial blood vessels for precise blood pressure simulation.

Best for:Best for researchers and students in computer science and biomedical engineering interested in medical image analysis and cardiovascular modeling.

Sano Centre for Computational Personalized Medicine · Kraków, Poland · R1 · First-stage researcher
More professors at Sano Centre for Computational Personalized Medicine
medical image analysiscomputational modelingcardiovascular systemdigital twinsartificial intelligencecomputer vision
Deadline
Dec 31, 2026
71 days
Funding
—
2027-01-01 to 2029-12-31
Start date
2027-01-01
Full-time
Location
Kraków
Poland

Overview

Sano Centre for Computational Personalized Medicine is preparing an early invitation for upcoming research positions within the FaceTwin project, funded by the Foundation for Polish Science. The project focuses on creating a digital twin of facial blood vessels to enable accurate, contactless blood pressure measurement through advanced computer vision, numerical simulation, and artificial intelligence. The initiative brings together international partners including the University of Sheffield's Insigneo Institute and industry partner ShenAI. Anticipated openings include multiple PhD candidates, postdoctoral researchers, and MSc students starting in 2027.

digital twinblood pressure simulationfacial blood vesselsmedical imagingdeep learninghemodynamic modelingcardiovascular diagnostics

What you'll do

  • Develop topology-preserving segmentation methods for facial blood vessels
  • Perform numerical simulations of blood flow under external haemodynamic inputs
  • Generate synthetic facial video data with known pressure values for training AI models
  • Collaborate with international academic and industry partners on interdisciplinary healthcare solutions
  • Participate in research visits, scientific supervision, and international conferences

Requirements

Degree required: Master Degree or equivalent

Degree offered: PhD

Language: English; excellent proficiency required

Instruction: English

Required skills
  • Background in computer science, biomedical engineering, or related fields
  • Interest or experience in medical image analysis or computer vision
  • Familiarity with deep learning and generative AI concepts
  • Strong motivation for interdisciplinary research and scientific discovery
Nice to have
Experience with image segmentation and registration techniquesKnowledge of computational fluid dynamics or hemodynamic modelingPrior international research or mobility experience
Eligibility
  • Open to talented individuals from diverse backgrounds and international applicants
  • Particularly welcomes applications from women, persons with disabilities, and underrepresented groups

Funding & terms

Type
Unknown
Amount
—
Duration
2027-01-01 to 2029-12-31
Programme
First Team project of the Foundation for Polish Science (FNP)
Foundation for Polish Science (FNP)

How to apply

Deadline: 2026-12-31 (Europe/Warsaw)

This announcement serves as an early invitation to express interest. Dedicated job advertisements and formal recruitment processes will be launched at a later stage by Sano.

Documents required
  • CV
↗Open application page

Contact

MW
Prof.
Marek Wodziński
Computational Personalized Medicine
Lab
FaceTwin Project Team
Sano Centre for Computational Personalized Medicine
First Team project of the Foundation for Polish Science (FNP)Poland
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