Research Technician - AI4HF

Descrizione

Research Technician - AI4HF Sintesi in italiano (traduzione automatica): L'Università di Barcellona offre una posizione entusiasmante come Tecnico di ricerca nel laboratorio di Intelligenza Artificiale in Medicina. Il ruolo è fondamentale per migliorare la visibilità e l'impatto della ricerca, traducendo risultati scientifici complessi in contenuti accessibili per vari pubblici. Il candidato selezionato agirà come collegamento tra il team scientifico e gli stakeholder esterni, supportando strategie di coinvolgimento e trasferimento di conoscenze. È richiesta una laurea magistrale e esperienza nella gestione di progetti finanziati dall'UE. Le mansioni principali includono il coordinamento dell'implementazione del progetto, la facilitazione della collaborazione tra team scientifici e clinici, e il supporto alla comunicazione con l'ente finanziatore. La posizione offre un ambiente di ricerca internazionale e opportunità di viaggio per eventi scientifici. We are offering an exciting position as Research Technician at the University of Barcelona, to lead and support strategic communication efforts for European research projects within the Artificial Intelligence in Medicine lab ( www.bcn-aim.org ). This role is key in enhancing the visibility, impact, and outreach of the lab’s cutting-edge research, by translating complex scientific findings into accessible, engaging content for diverse audiences including clinicians, policymakers, patients, media, and the general public. The Research Technician will act as a bridge between the scientific team and external stakeholders, supporting engagement, and knowledge transfer strategies aligned with EU project goals and ethical standards. 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 two ERC grants). 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. Travelling opportunities to scientific events and project meetings. Flexible working hours, with possibility to telework Requirements : Master’s degree. Previous experience managing EU-funded projects. Strong problem-solving skills and ability to work independently to meet deadlines. Demonstrated ability to manage multiple tasks, prioritise effectively, and meet deadlines. Ability to work in an interdisciplinary research environment. Strong team spirit and active participation in the lab’s scientific activities. Experience in translating technical/scientific content into public-friendly formats Experience collaborating with local and international project partners, including technical and clinical researchers. Experience with bringing research products into the marketplace. Key Responsibilities: Coordinate the day-to-day implementation of the project and monitor progress across tasks, milestones, and deliverables. Serve as the link between the PI, researchers, clinicians, and partners. Support project reporting, meetings, documentation, and communication with the funding body and host institution. Facilitate collaboration across scientific, clinical, and technical teams involved in the project. Contribute to dissemination, external relations, and strategic partnerships. Help bridge the project’s technology toward real-world adoption, tech transfer, and market opportunities. The research projects: You will join our AI for cardiology team, as part of ongoing projects such as AI4HF ( https://www.ai4hf.com/ ) 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, 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 ( 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 >20 enthusiastic academics, researchers, Annuncio in inglese. Fonte: Eurax