PhD and postdoc opportunities - July 2025

PhD fellowship in deep learning and biophysical simulation for prediction of cardiac health outcomes available through the SUURPh international training programme
Simula, Oslo

Simula Research Laboratory seeks applicants for a PhD position offered as part of a larger collaborative PhD programme between Simula, the University of Oslo (UiO), and the University of California, San Diego (UCSD).

This PhD project focuses on computational approaches for monitoring and prognosis of single ventricle disorder and a detailed project description can be found here. The PhD project aims to complete an automated deep-learning-powered shape modeling pipeline for cardiac single ventricle disorders (SVD). This work will investigate the highly heterogeneous population of SVD patients, leveraging magnetic resonance datasets and advanced computational techniques. The project aims to train deep neural networks to learn diastolic and systolic myocardial material properties from measured cardiac shapes, motions and hemodynamics, and use them to compute end-diastolic (ED) and end-systolic (ES) stress and strain distributions. These outputs can lend needed insight into diverse phenotypes within the SVD populations, to ultimately assist with clinical prognostics and planning.

Application deadline: 12 August, 2025

More info and application HERE

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Aalborg University - Faculty of Engineering and Science, Department of Materials and Production

The PhD project will be part of the ECHO-EMG research initiative, funded by the Independent Research Fund Denmark (DFF). The project aims to develop a novel system that combines high-density surface electromyography (HD-sEMG) and ultrafast ultrasound imaging (UUS) to assess muscle function in individuals with Type II Diabetes Mellitus and related neuromuscular disorders. The integration of these two modalities is expected to overcome limitations of current EMG-based techniques, particularly in dynamic movement tasks.

Application deadline: August 15th, 2025

More info and application HERE

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4-Years PhD Position in Multi-Scale Structure-Composition-Function Relationships in Osteoporosis Fracture Prediction (OsteoFX)
Department of Engineering - Universitat Pompeu Fabra

OsteoFX is an interdisciplinary research project that aims to advance the prediction of osteoporotic hip fractures through the development of innovative multiscale computational models linking bone structure, composition, and mechanical performance.

As a doctoral researcher, you will:

• Assess the impact of osteoporosis on bone nano-mechanical properties and reinterpret clinical image intensities, through multi-scale theoretical calculations, considering possibly altered fibrillogenesis in osteoporosis.
• Achieve patient-specific orthotropic elastic property and post-yield behavior of cortical and trabecular compartments for 3D-DXA-based FE models.
• Achieve an index to assess osteoporotic fracture risk through the integration of multiscale bone mechanics, post-yield behavior descriptions, and patient-specific femur modeling, in osteoporosis clinical cohorts.
• Publish in peer-reviewed international journals and present at international conferences.

Qualifications

• Hold a BSc and an MSc in either Mechanical Engineering, Civil Engineering, or Biomechanics.
• Solid background in continuum mechanics, fracture mechanics, and mechanics of composite materials.
• MSc thesis focused on finite element modeling and simulation in continuum mechanics and fracture mechanics of bio-based or composite materials.
• Proficiency in scientific programming (e.g., MATLAB, Python, or equivalent).
• Experience in conducting experimental tests and validating FE models against experimental data will be considered a strong asset
• Proficiency in English, both written and spoken.

More info and application HERE

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Senior Researcher – Data Driven Health
VITO - Belgium

We are seeking a Senior Researcher with a strong background in Data Driven Health

Key responsibilities:

• Acquire, lead and contribute to research projects focused on uncovering data-driven insights for health solutions.
• Plan and manage project timelines, resources, and deliverables, ensuring alignment with organizational goals.
• Oversee ethical approval processes for new cohorts, ensuring compliance with regulatory guidelines and best practices.
• Collaborate with business developers to communicate effectively with regulatory agencies and industry stakeholders regarding ongoing projects and product-related matters.
• Liaise with diverse stakeholders, from cross-functional team members to external partners, ensuring transparent communication and collaboration.
• Develop creative strategies for complex biological and technological challenges, leveraging deep analytical thinking and a broad understanding of human health and disease.
• Serve as an internal expert, guiding junior team members and shaping best practices in data-driven research methods.
• Translate research findings into product-focused outputs, continually seeking ways to make our scientific insights actionable in real-world healthcare contexts.

More info and application HERE

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Thesis Opportunity: Contribute to the future of Clinical Evaluations by Researching the Validation of Active Medical Devices

Start: Jan 2026

Paid Working Student Role, Remote, EU students

We're offering a Bachelor/Master thesis position focused on clinical & non-clinical validation strategies for an active medical device like ICU ventilator, electrosurgical generator or insulin pump, as part of the ECliPSE initiative.

What you’ll be working on:

• Literature review on validation methods
• Mapping clinical & non-clinical data
• Designing test strategies aligned with EU MDR
• Engaging with experts to evaluate findings

Apply by 30 Sept 2025 (Jan start)

More info and application HERE

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Opportunities in Mathematical Modeling and Computational Oncology Using Digital Twins to Advance RadiotherapyMOX, Department of Mathematics, Politecnico di Milano

We are looking for expressions of interest for multiple post-doctoral positions that will be opened towards the end of 2025. The positions will focus on the application of advanced mathematical models and computational techniques for the development of digital twins aimed at improving cancer treatment using radiotherapy in the framework of the following projects: TETRIS and Hi-ROC to be developed at MOX, Department of Mathematics, Politecnico di Milano.

The ideal candidate should demonstrate a strong background in mathematical and computational modeling, along with expertise in data analysis tools. The role involves collaboration with a multidisciplinary team of clinicians and biomedical researchers, making excellent communication and teamwork skills essential.

For additional information and expressing your interest in this opportunity please contact Paolo Zunino (email, web)

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Medical Data Processing Analyst
Hemolens Diagnostics®

We’re a multidisciplinary team of bioengineers, cardiologists, and IT professionals developing cutting-edge, non-invasive diagnostic tools that aim to revolutionise cardiology and reduce risks associated with invasive procedures.

Location: Wrocław, ul. Legnicka 48 G | Hybrid work: 4 days onsite, 1 day remote

Your Role:

• Process, evaluate, and correct medical data
• Collaborate with AI, CFD, and Web Development teams
• Work with 3D medical data analysis software

Skills:

• Eagerness to learn — no prior extensive experience needed; we’ll teach you!
• Passion for data analysis and working with medical data
• Degree in biomedical engineering, medicine, physiotherapy, or related fields
• Knowledge of electrophysiology, radiology, cardiology, especially coronary vessel imaging (angiography, FFR, IVUS, OCT, CT)