Postdoctoral position in Barcelona on Artificial Intelligence in Oncology – AIM-SAFE

Organisation/Company Universitat de Barcelona Department OPIR Research Field Computer science Engineering Mathematics Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 27 Oct 2026
- 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 16 Nov 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number Nº GA 101287214 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are offering an exciting postdoctoral positionat the University of Barcelona within the Artificial Intelligence in Medicine Lab (BCN-AIM), directed by Prof. Karim Lekadir and hosted within the Department of Mathematics and Computer Science. The successful candidate will contribute to cutting-edge research on trustworthy generative artificial intelligence in oncology as part of the Horizon Europe AIM-SAFE project. Concretely,

we offer
* A research position in beautiful Barcelona and its Mediterranean climate.
* Research experience within a prestigious university (1st position in Spain).
* Cutting-edge research in AI for healthcare in one of the most dynamic research groups in Europe (12 active projects including an ERC grant).
* An international research environment by joining a multi-cultural team representing all continents.
* Opportunities to collaborate with international and inter-disciplinary collaborators as part of the European projects.
* Support in career development (e.g. grant applications, supervision of PhD students).
* Travelling opportunities to scientific events, project meetings and international stays.
* Freedom to independently conduct research and contribute with own ideas.
* Flexible

working hours
, with possibility to telework.
* Competitive salary equivalent to Assistant or Associate Professor at the University of Barcelona, depending on experience. Contract duration until the end of the projects with the possibility to extend the contract as part of other grants within the lab. The requirements for the position are:
* Machine learning and deep learning algorithms.
* Biomedical data science and multimodal medical data analysis.
* Medical image analysis and computer vision.
* Excellent programming skills in Python and/or C++.
* Proficient English, both oral and written.
* Enthusiasm for research and trustworthy AI applications in healthcare.
* Ability to work independently, lead research activities and meet project deadlines.
* Good team spirit and active participation in the laboratory's scientific activities. Ability to collaborate effectively with local and international technical and clinical partners. Furthermore, knowledge in any of the following areas are desirable (but optional):
* Probability and statistics.
* Large Language Models and Agentic AI
* Explainable and trustworthy AI.
* Federated learning.
* Docker, Kubernetes and Slurm
* DevOps and MLOps
* Personalised and precision medicine. Experience in EU-funded projects The research projects: You will join our AI for oncology team as part of ongoing European Commission-funded projects such as AIM-SAFE and RadioVal, including projects coordinated by our laboratory. These initiatives focus on developing trustworthy, safe and explainable AI solutions to support personalised oncology and clinical decision-making. In particular, AIM-SAFE develops privacy-preserving generative AI assistants for multimodal clinical reasoning and patient safety, while RadioVal is conducting the first large-scale multi-centre clinical validation of radiomics-based AI for predicting breast cancer treatment response. The research builds on unique multimodal data repositories, real-world hospital data, trustworthy AI methods, computational tools and clinical evidence generated through major European oncology initiatives. As a member of our team, you will collaborate with leading technical and clinical partners across Europe (e.g. in the Netherlands, Italy, the United Kingdom, Greece, Spain, Belgium, Germany, Poland, Austria, Czechia and Turkey). In this position, your tasks will include:
* Develop, implement and evaluate advanced AI methods for medical imaging and multimodal clinical data, with a focus on trustworthy AI and clinical decision support.
* Contribute to the design and validation of innovative machine learning and foundation model approaches for healthcare applications.
* Collaborate with technical and clinical partners to curate, harmonise and analyse multicentre datasets for AI development and evaluation.
* Participate in the coordination, technical development and validation activities of European collaborative research projects. Prepare scientific publications, technical deliverables and reports, and contribute to project management, dissemination and collaboration with international partners. The group: The successful candidate will join the Artificial Intelligence in Medic