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University of Barcelona

Postdoctoral Position in Barcelona on AI in Medical Imaging (AFRICAI-RI) University of Barcelona in Spain

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Oct 30, 2026

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Country

Spain

University

University of Barcelona

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Deep Learning
Predictive Modeling
Artificial Intelligence
Federated Learning
Medical Science
Anomaly Detection
Domain Adaptation
Clinical Decision Support
Image Classification
Statistics
ML

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About this position

Postdoctoral researcher position at the University of Barcelona within the Artificial Intelligence in Medicine Lab for the AFRICAI-RI Horizon Europe project.

The project develops trustworthy AI solutions for multimodal medical imaging to support diagnosis and clinical decision-making in respiratory diseases, especially tuberculosis and pneumonia. The work is embedded in a dynamic, internationally connected research group in Barcelona with expertise in machine learning, deep learning, biomedical informatics, trustworthy AI, and medical AI.

The successful candidate will contribute to federated, privacy-preserving imaging research for Sub-Saharan Africa, working with heterogeneous biomedical and clinical datasets and helping design AI methods that transfer across centres, modalities, and contexts. The project aims to improve access to medical imaging expertise, support local capacity building, and develop clinically relevant tools for X-ray, ultrasound, and related modalities.

Why apply: the role offers research freedom, collaboration with international and interdisciplinary partners, opportunities for travel and project meetings, support for career development and grant applications, and the possibility to supervise PhD students. The contract is full-time, temporary, and funded under Horizon Europe, with a gross salary of €40,000 per year.

Eligibility highlights: applicants should have a PhD or equivalent; a strong background in machine learning/deep learning; experience in medical image analysis and biomedical datasets; solid Python and ML framework skills; a publication record in relevant AI/medical imaging venues; and excellent English. Experience with trustworthy AI, federated learning, domain adaptation, and privacy-preserving approaches is advantageous.

Application deadline: 30 October 2026. Applications are submitted via the University of Barcelona website/GAIA system. Required documents include a CV, motivational letter, and online registration form. Contact: [email protected].

Funding details

Available

What's required

Applicants must hold a PhD or equivalent in Computer Science or a related field by the time the contract is formalised. Required experience includes a strong background in machine learning and deep learning; medical image analysis such as classification, segmentation, anomaly detection, or predictive modelling; work with heterogeneous biomedical datasets including X-ray, ultrasound, MRI and clinical data; data preprocessing, harmonisation, model validation, and multi-centre datasets; proficiency in Python and ML/data science frameworks such as PyTorch, TensorFlow, or Scikit-learn; a scientific track record of peer-reviewed publications in AI, machine learning, or medical imaging; and excellent written and spoken English. Desirable but optional are trustworthy AI, federated learning, domain adaptation, privacy-preserving AI, independence, teamwork, multidisciplinary collaboration, research leadership, coordination and supervision experience, and strong scientific communication skills. Years of research experience: 4-10.

How to apply

Apply through the UB application portal using the online GAIA registration form and the job-specific application website. Prepare and submit a CV with referees' contact details, a motivational letter, and any required supporting documents. The candidate selected must accept the offer within 3 working days after notification.

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