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source

Axel Loewe

9 months ago

15 Fully Funded PhD Positions in Biomedical Engineering, Clinical Data Science, and Biology – TrackAF Marie Skłodowska-Curie Doctoral Network Karlsruhe Institute of Technology in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

These positions are fully funded by the Marie Skłodowska Curie Action Industrial Doctorate TrackAF (HORIZON-MSCA-2024-DN-01). Each contract includes a living allowance of 4,010€/month (adjusted by country correction coefficient), a mobility allowance of 710€/month, and a family allowance of 495€/month if applicable. Employment contracts include social security, holiday rights, parental leave, pension, healthcare, and accident coverage. The positions are full-time for 36 months.

Deadline

Expired

Country flag

Country

Germany

University

Karlsruhe Institute of Technology

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Signal Processing
Biology
Medical Science
Digital Twin Technology
Atrial Fibrillation
Monte Carlo Simulation
Electrocardiography
Clinical Data
Computational Modelling

About this position

The TrackAF Marie Skłodowska-Curie Doctoral Network is offering 15 fully funded PhD positions for early-career researchers interested in advancing research on atrial cardiomyopathy and atrial fibrillation. This interdisciplinary program brings together leading academic, clinical, and industrial institutions across Europe, including the Karlsruhe Institute of Technology, Maastricht University, Medizinische Universität Graz, Universidad de Zaragoza, and others. The research focuses on computational cardiac modelling, clinical AI, data-driven approaches, and wet lab science to address key challenges in cardiovascular health.

Doctoral candidates will engage in cutting-edge research projects such as multimodal AF risk analysis, mechanosensitive channel studies, simulation of AF triggers, and the development of generative atrial models. The program emphasizes interdisciplinary training, international secondments, and collaboration across academia, industry, and healthcare. Fields of study include biomedical engineering, clinical data science, biology, machine learning, signal processing, numerical modelling, and scientific computing.

Applicants must hold a Master’s degree (or equivalent) in a relevant field and demonstrate fluency in English, willingness to travel, and openness to interdisciplinary collaboration. The MSCA Mobility Rule applies, and candidates must not already possess a doctoral degree. The program offers a highly competitive salary, including a living allowance, mobility allowance, and family allowance, with full social security and employment benefits.

Applications are open until April 12, 2026, with the program starting on September 1, 2026. Interested candidates should visit the TrackAF website for detailed project descriptions and application instructions. This is an exceptional opportunity to join a vibrant network of researchers and contribute to innovative solutions in atrial fibrillation management and cardiovascular health.

Funding details

These positions are fully funded by the Marie Skłodowska Curie Action Industrial Doctorate TrackAF (HORIZON-MSCA-2024-DN-01). Each contract includes a living allowance of 4,010€/month (adjusted by country correction coefficient), a mobility allowance of 710€/month, and a family allowance of 495€/month if applicable. Employment contracts include social security, holiday rights, parental leave, pension, healthcare, and accident coverage. The positions are full-time for 36 months.

What's required

Applicants must have a university degree (Master or equivalent, 5 years) in a relevant field such as biomedical engineering, clinical data science, machine learning, signal processing, biology, numerical modelling, simulation, or related areas. Candidates must not already possess a doctoral degree at the date of recruitment and must comply with the MSCA Mobility Rule (not have resided or carried out their main activity in the host country for more than 12 months in the past 3 years). Fluency in written and spoken English, willingness to travel for secondments, and openness to interdisciplinary collaboration are required. Additional requirements may apply for specific projects.

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Professors

Research Group Leader, Head of Computational Cardiac Modeling

University Name
Country flag

Germany

Research Interests

Cardiology

Exercise Physiology

Cardiac Physiology

Electrocardiography

Cardiovascular Biology

Professor

University Name
Country flag

Germany

Research Interests

Computational Modelling

Computer Science

Medical Science

Biomedical Engineering

Digital Twin Technology

Professor

University Name
Country flag

Germany

Research Interests

Machine Learning

Digital Twin Technology

Biology

Atrial Fibrillation

Electrocardiography

Professor

University Name
Country flag

Germany

Research Interests

Computer Science

Computational Modelling

Clinical Data

Signal Processing

Machine Learning

Professor

University Name
Country flag

Germany

Research Interests

Clinical Data

Biology

Biomedical Engineering

Digital Twin Technology

Electrocardiography

Professor

University Name
Country flag

Germany

Research Interests

Signal Processing

Clinical Data

Electrocardiography

Monte Carlo Simulation

Atrial Fibrillation

Professor

University Name
Country flag

Germany

Research Interests

Biomedical Engineering

Computer Science

Electrocardiography

Medical Science

Signal Processing

Professor

University Name
Country flag

Germany

Research Interests

Digital Twin Technology

Machine Learning

Signal Processing

Clinical Data

Medical Science

Professor

University Name
Country flag

Germany

Research Interests

Clinical Data

Computer Science

Biomedical Engineering

Biology

Digital Twin Technology

Professor

University Name
Country flag

Germany

Research Interests

Digital Twin Technology

Computational Modelling

Computer Science

Medical Science

Monte Carlo Simulation

Professor

University Name
Country flag

Germany

Research Interests

Medical Science

Computer Science

Digital Twin Technology

Signal Processing

Atrial Fibrillation

Professor

University Name
Country flag

Germany

Research Interests

Computational Modelling

Electrocardiography

Atrial Fibrillation

Monte Carlo Simulation

Signal Processing

Professor

University Name
Country flag

Germany

Research Interests

Electrocardiography

Monte Carlo Simulation

Biology

Machine Learning

Signal Processing

Professor

University Name
Country flag

Germany

Research Interests

Electrocardiography

Biology

Signal Processing

Atrial Fibrillation

Medical Science

Professor

University Name
Country flag

Germany

Research Interests

Atrial Fibrillation

Biomedical Engineering

Digital Twin Technology

Biology

Computer Science

Professor

University Name
Country flag

Germany

Research Interests

Medical Science

Monte Carlo Simulation

Digital Twin Technology

Biology

Computer Science

Professor

University Name
Country flag

Germany

Research Interests

Biomedical Engineering

Computer Science

Atrial Fibrillation

Monte Carlo Simulation

Signal Processing

Professor

University Name
Country flag

Germany

Research Interests

Atrial Fibrillation

Biology

Signal Processing

Machine Learning

Computer Science

Professor

University Name
Country flag

Germany

Research Interests

Machine Learning

Atrial Fibrillation

Computational Modelling

Signal Processing

Digital Twin Technology

Professor

University Name
Country flag

Germany

Research Interests

Biomedical Engineering

Computational Modelling

Atrial Fibrillation

Electrocardiography

Computer Science

Professor

University Name
Country flag

Germany

Research Interests

Biomedical Engineering

Atrial Fibrillation

Clinical Data

Computer Science

Monte Carlo Simulation

Professor

University Name
Country flag

Germany

Research Interests

Machine Learning

Biology

Atrial Fibrillation

Signal Processing

Monte Carlo Simulation