Information about this opportunity
Department/Lab/Unit
UMA AI LABUniversity of the inviting researcher
UNIVERSIDAD DE MÁLAGA
Internship School Year
2025/2026Research lines/projects
1) Large Language Models with reasoning and knowledge accumulation, focusing on enhancing the long-term reasoning capabilities and contextual memory of LLM-based systems. 2) AI applied to cardiology, with a specific focus on heart failure prediction and patient monitoring using ECG and multimodal data. Collaborative research may involve developing and validating AI models with clinical and interpretability constraints.
Name of inviting researcher
Francisco Lopez ValverdeWho is offering this opportunity?
Inviting researcher email
valverde@uma.esAcademic Position of the inviting researcher
Senior lecturerWeb page/ORCID
https://orcid.org/0000-0003-0778-6838Who is this opportunity for?
Academic position of invited researcher
PhD students, Academic and research staffIdeal profile and expertise expected from the invited researcher
PhD candidate or postdoctoral researcher with expertise in Artificial Intelligence, particularly in Large Language Models (LLMs) or AI applications in healthcare. Strong skills in machine learning, deep learning, and data-driven research are expected. Experience in clinical data analysis or natural language reasoning systems will be an asset.
Description and additional information
Strenghts of the offer/Expected benefits
The UMA AI Lab provides a stimulating research environment combining AI theory and applied innovation. The lab is equipped with advanced computational resources, access to real-world medical datasets, and collaborations with healthcare and academic partners. The research stay will foster mutual scientific exchange, joint publications, and potential long-term collaboration between UMA and the visiting researcher’s institution, strengthening the Uninovis network in applied AI and digital health.
Dates and duration
Minimum length of stay (weeks)
8Maximum length of stay (weeks)
12Period in which the internship can be made
To be agreed