Organisation/Company: Universitat de Barcelona
Department: OPIR
Research Field: Computer science Engineering
Other Researcher Profile: First Stage Researcher (R1)
Positions: Master Positions
Country: Spain
Application Deadline: 14 Apr :59 (Europe/Madrid)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 1 Oct 2025
Is the job funded through the EU Research Framework Programme? Horizon Europe
Reference Number: Nº GA
Is the Job related to staff position within a Research Infrastructure? No
Offer Description We are looking for a highly skilled AI engineer to join our team at the Artificial Intelligence in Medicine lab ( within the University of Barcelona. We are looking for candidates with an MSc (or equivalent) in a relevant field, such as computer engineering, artificial intelligence, data analytics, or computational intelligence, who have a strong technical background. The selected candidate will contribute to developing innovative and trustworthy AI solutions for personalized medicine, aiming to tailor care models in the field of cardiovascular diseases. The successful candidate is expected to be able to organise his/her work with minimal supervision and prioritise work to meet deadlines of the project.
We offer:
A dynamic 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 (10 active projects including an ERC grant).
An international research environment with a multi-cultural team representing all continents.
Opportunities to collaborate with international and interdisciplinary collaborators as part of the European projects.
Flexible working hours, with possibility to telework.
The requirements for the position are:
Master's degree in Computer Science, Computer Intelligence, AI, or related fields
Proficiency in Python
Machine/deep learning
Oversee the federated learning environment
Good team spirit and participation in the lab's scientific life
Enthusiasm about research and medical applications of AI
Aptitude to work independently and meet deadlines.
The research projects:
You will join our AI for cardiology team, as part of ongoing projects such as DataTools4Heart ( and AI4HF, funded by the European Commission and some coordinated by our lab. In these projects, we are developing new trustworthy AI solutions for a 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, United Kingdom, Greece, Spain, Belgium, France, Germany, Portugal, Peru, Tanzania, Czechia, Turkey).
The Group:
The successful candidate will join the Artificial Intelligence in Medicine Lab ( 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 over 20 enthusiastic academics, researchers, students and research managers, with expertise in data science, machine/deep learning, biomedical informatics, biomedical ethics, and health-related applications. The research team has an established track record in coordination and participation in national, European and international projects in biomedical data science and medical AI (e.g. EuCanImage, LongITools, HealthyCloud, RadioVal, DataTools4Heart, Youth-GEMs, HappyMums, AIMIX, AI4HF).
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 2018, ARWU/Shanghai Ranking It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. Since January 2010, Universitat de Barcelona is part of the prestigious League of European Universities Research (LERU).
Specific Requirements Federated learning environment
Proficiency in Python
Machine/deep learning
Languages: ENGLISH Level Excellent
Research Field: Computer science Engineering Other
Years of Research Experience: 1 - 4
Additional Information Eligibility criteria:
The selection is made through the evaluation of the curriculum, with an overall score of zero (0) to ten (10) points. The minimum score is five (5) points. The evaluation criteria are the following:
Suitability of the candidate to the main function to be carried out
Curricular experience
Professional knowledge and skills
The tribunal, in its constitutive session, assesses the CVs of the candidates presented.
Selection process:
A resolution of adjudication is issued to the person who, having passed the selection procedure, obtains the highest score and publishes the prioritised list of applicants who have passed the selection process, indicating the scores obtained, for subsequent recruitment, if necessary.
Additional comments:
The candidate proposed for hiring must accept the job offer within 5 working days from the date of notification of the selection.
Priority will be given to people with disabilities (Law 89/2015 of June 2, reserve of quota 2% in favour of people with disabilities in companies of 50 or more people).
Be aware that the starting date set in this offer is an estimate date. The official starting date will depend on the bureaucratic time that will take the preparation of the labour contract and presentation of the necessary documents to be hired by the selected candidate.
#J-18808-Ljbffr