Postdoctoral Fellowship in Neuroscience, Large Language Models, and Explainable AI (Juan de la Cierva 2025)
The University of Granada, under the supervision of Associate Professor Jose Andres Gonzalez Lopez, is seeking postdoctoral candidates for the Juan de la Cierva Fellowship 2025. This prestigious, fully funded opportunity is ideal for early-career researchers interested in advancing the frontiers of neuroscience, large language models (LLMs), explainable AI (XAI), and AI-driven cognitive modelling. The research group focuses on interdisciplinary work combining computational neuroscience, machine learning, and ethical, transparent AI.
Eligible applicants must have completed a PhD in Neuroscience, Computer Science, Cognitive Science, AI, Biomedical Engineering, or a related field between January 1, 2024 and December 31, 2025 (or between January 1, 2023 and December 31, 2025 for candidates with a disability of 33% or more). Candidates should demonstrate a strong interest or background in LLMs, explainable AI, computational neuroscience, or cognitive modelling, and be motivated to contribute to high-impact, cross-disciplinary research in an international environment.
The Juan de la Cierva fellowship offers a three-year, fully funded postdoctoral contract with an annual salary of €35,000 and an additional €15,000 for research expenses. The program is co-financed by the European Social Fund Plus and supports independent research in a supportive, innovative setting. The selection process is highly competitive, based on academic merit and the research team's scientific record.
Interested candidates are encouraged to contact Prof. Gonzalez Lopez directly to discuss potential projects and fit with the research group. For more information and application details, visit the official announcement page. The application window for candidates is from November 25, 2025 to December 10, 2025.
Keywords: Neuroscience, Large Language Models, Explainable AI, Cognitive Science, Computational Neuroscience, Machine Learning, AI-driven Cognitive Modelling, Biomedical Engineering.