Organisation/Company Universidad Carlos III de Madrid Department Bioengineering Research Field Medical sciences » Health sciences Computer science » Programming Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Country Spain Application Deadline 3 Jun 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Part-time Hours Per Week 20 Offer Starting Date 1 Jul 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Position: Predoctoral/Graduate Researcher in AI-Applied Cardiology (Focus: Atrial Fibrillation)
Institution:
* Carlos Sevilla Salcedo (Signal Theory & Communications Department, UC3M)
Project:
As part of the FLAMA-CM-UC3M initiative, the successful candidate will develop and apply Deep Learning models—including convolutional architectures, autoencoders and transformer-based networks—to learn embeddings of cardiac signals (intracardiac electrograms and surface ECGs) for advanced characterization of atrial fibrillation phenotypes and dynamics.
Key Responsibilities:
* Preprocess, clean and annotate raw cardiac signal datasets (electrograms & ECGs).
* Design, implement and train DL architectures (e.g. CNNs, autoencoders) and state-of-the-art transformer models for time-series embedding.
* Explore advanced AI techniques (self-supervised learning, attention mechanisms, contrastive learning) to enhance AF feature extraction.
* Collaborate closely with cardiologists to validate model outputs against clinical markers.
* Publish findings and present at conferences.
Qualifications:
* Bachelor’s degree (or equivalent) in Electrical Engineering, Bioengineering, Computer Science, Physics, or related field.
* Solid background in signal processing, and machine learning.
* Familiarity with self-supervised and contrastive learning is a plus.
* Excellent communication skills in English and Spanish.
Contract & Funding:
* Competitive stipend according to UC3M/HGM rates.
* Expected start: July 2025.
Application:
Submit your application via the UC3M portal under reference 2025/215 (check the deadline in the link provided). Required materials:
Funding:
This contract is part of the Foundational Learning in Atrial Fibrillation through Modeling with Artificial Intelligence (FLAMA-CM-UC3M) project, funded by the Community of Madrid through the Agreement-Grant for the encouragement and promotion of research and technology transfer at Carlos III University of Madrid.
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* Experience with machine learning applications
* Knowledge of neural network embedding techniques
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