Karim Lekadir
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4 days ago
Postdoctoral Position in Artificial Intelligence in Oncology (AIM-SAFE) University of Barcelona in Spain
Degree Level
Postdoc
Field of study
Oncology
Funding
Available
Deadline
Oct 27, 2026
Country
Spain
University
University of Barcelona
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About this position
Postdoctoral position in Artificial Intelligence in Oncology – AIM-SAFE at the University of Barcelona in Barcelona, Spain.
The successful candidate will join the Artificial Intelligence in Medicine Lab (BCN-AIM), directed by Prof. Karim Lekadir, within the Department of Mathematics and Computer Science. The role is part of the Horizon Europe AIM-SAFE project and broader European oncology collaborations, including RadioVal. The research focus is on trustworthy generative AI, machine learning, deep learning, medical image analysis, and multimodal clinical data for oncology and clinical decision support.
The project aims to develop privacy-preserving, explainable and safe AI assistants for multimodal clinical reasoning, patient safety, and personalised oncology. The team works with rich multimodal hospital data, radiomics, and multicentre datasets, and collaborates with technical and clinical partners across Europe. You will contribute to developing, implementing, and validating advanced AI methods for healthcare, foundation models, and multimodal analysis, while also supporting publications, technical deliverables, dissemination, and project coordination.
The lab is a dynamic international group with strong experience in EU-funded and international projects, and the position offers a competitive research environment, opportunities for collaboration, and support for career development. The gross salary is EUR 40,000 per year, and the appointment is a temporary full-time contract initially for 12 months, renewable up to 31/05/2030.
Eligibility highlights: PhD or equivalent in computer science, engineering, mathematics, or related fields; strong background in AI/ML, biomedical data science, medical imaging, and programming (Python/C++); excellent written and spoken English; ability to work independently and collaborate with interdisciplinary partners. Desirable experience includes probability/statistics, LLMs, explainable AI, federated learning, MLOps/DevOps, precision medicine, and EU-funded projects.
Application window: 14 to 27 October 2026. Applicants must submit the CV, motivation letter, and online registration form via the UB application system.
Funding details
Available
What's required
A PhD or equivalent in computer science, engineering, mathematics, or a related field is required, and the doctorate must be held at the time the contract is formalised. Applicants should have experience in machine learning and deep learning, biomedical data science and multimodal medical data analysis, medical image analysis and computer vision, and excellent programming skills in Python and/or C++. Excellent English proficiency, both oral and written, is required. The post also asks for enthusiasm for trustworthy AI applications in healthcare, the ability to work independently, lead research activities, meet deadlines, contribute to the lab's scientific life, collaborate with technical and clinical partners, and communicate research results clearly. Desirable but optional: probability and statistics, large language models and agentic AI, explainable and trustworthy AI, federated learning, Docker/Kubernetes/Slurm, DevOps/MLOps, personalised and precision medicine, and experience in EU-funded projects. Years of research experience requested: 4-10.
How to apply
Apply online through the UB application portal using the listed job link. Submit the CV, motivational letter, and the online GAIA registration form. Make sure the doctorate is completed before the contract is formalised.
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