진학프로석·박사 채용 접수 플랫폼

We are offering an exciting postdoctoral position at the University of Barcelona, within the Artificial Intelligence in Medicine lab (www.bcn-aim.org), new trustworthy AI solutions for personalised medicine approach to tailor the care models in the field of cardiovascular diseases.

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 (minimum four years), with the possibility to extend the contract as part of other grants within the lab.

The requirements for the position are:

• - Machine/deep learning algorithms.
• - Biomedical data science.
• - Medical image analysis.
• - Excellent programming skills in Python and/or C++.
• - Proficient English, both oral and written.
• - Enthusiasm about research and medical applications of AI.
• - Aptitude to work independently, lead project deliverables and meet deadlines.
• - Good team spirit and participation to the lab’s scientific life.
• - Aptitude to collaborate with local and international project partners (including technical and clinical collaborators).

Furthermore, knowledge in any of the following areas are desirable (but optional):

• - Probability and statistics.
• - Mathematics and/or applied mathematics.
• - Bias detection and correction.
• - Transfer learning and domain adaptation.
• - Uncertainty estimation.
• - Federated learning.
• - Bioinformatics and/or Biomedical informatics.
• - Biomedical engineering.
• - Personalised and/or precision medicine.
• - Digital health.
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The research projects:

You will join our AI for cardiology team, as part of ongoing projects such as DVPS (https://www.linkedin.com/company/dvps-ai//) and DataTools4Heart (https://www.datatools4heart.eu/), funded by the European Commission and some coordinated by our lab. In these projects, we are developing new trustworthy AI solutions for personalised medicine approach to tailor the care models in the field of cardiovascular diseases. In particular, we are interested in new AI solutions for risk assessment and patient management. The project will build on a unique set of big data repositories, real-world hospital data, trustworthy AI methods, computational tools and clinical results from major EU-funded projects in cardiology leveraging federated learning. Should you join our team, you will collaborate with several technical and clinical partners within and outside Europe (e.g. in the Netherlands, Italy, United Kingdom, Greece, Spain, Belgium, Germany, Poland, Austria, Czechia, Turkey).

Your tasks:

In this position, your tasks will include:

• - Supervision of the Federated Learning platform, including deployment, development and refinement for MMFM training purposes.
• - Data Management plan for the purpose of the project: interacting with the clinical partners, understanding needs and transform raw data into AI ready datasets.
• - Design, implement and train large-scale foundational models and LLMs using advanced DL techniques.
• - Optimize model architectures to ensure scalability, performance and efficiency.
• - Collaborate with cross-functional teams, including project managers, data scientists, and software engineers, to deliver AI-powered solutions.

• - Write and report official documentation to the EU commission related to EU-funded Horizon projects.

  
  

  The group:

• - The successful candidate will join the Artificial Intelligence in Medicine Lab (www.bcn-aim.org), which is an integral part of the University of Barcelona’s Faculty of Mathematics and Computer Science. It is a young and dynamic research lab, highly active in international projects, and composed of >25 enthusiastic academics, researchers, students and research managers, with expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordination and participation in European and international projects (> 10 million Euros over the last 5 years) in biomedical data science and medical AI (e.g. EuCanImage, euCanSHare, EarlyCause, LongITools, HealthyCloud, RadioVal, DataTools4Heart, Youth-GEMs, HappyMums, AIMIX, AI4HF, STAGE, YOUTHreach, AIFIX, AIXPERT, DVPS).

  
  

  The institution:

The University of Barcelona (UB), founded in 1450, is one of the oldest universities in Spain. It comprises a student body of 84,370 and 4,548 research staff members. With 73 undergraduate programs, 273 graduate programs and 48 doctorate programs, UB is the largest university in Barcelona and Catalonia. The UB is ranked the first Spanish university according to several rankings (QS World University Rankings 2022, Shanghai Ranking 2022). It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. The University of Barcelona is part of the prestigious League of European Universities Research (LERU).

Gross salary per year: 40.000 €.

The application period is from 17 June to 1 July 2025.