1st Call Opens : 20 December 2024 | Deadline : 20 February 2025
The Ramon Llull AIRA Postdoctoral Programme (RAMON LLULL) offers 33 three year fellowships 17 in 2024 and 16 in 2025 to train researchers in Catalonia''s top R&D institutions in artificial intelligence (AI). The programme is led by the Computer Vision Centre (CVC CERCA), along with AIRA partner institutions (IIIA CSIC, BSC, IDEAI UPC, IRII CSIC UPC) and eight other leading AI research institutions : UAB, UPF, UdG, URL, URV, Eurecat, i2CAT, and IJC CERCA. These institutions, including five universities, two technology centres, and one clinical research institution, will recruit, host, and train fellows.
Supported by the Catalan Government through the AIRA Initiative, the RAMON LLULL Programme aims to advance researchers'' careers through excellent human centred AI research, leadership development, and interdisciplinary collaboration. The programme fosters interdisciplinary and intersectoral fundamental research in AI, adhering to Open Science principles and high quality research standards.
Please visit the website ramonllull aira.eu for further information and extended details on the application and selection process.
Research Theme Title : Quantum AI Synergies : Quantum Computing for AI Acceleration and AI Driven Quantum Advancements
Research Theme Code : RLA i2CAT 01
Area of Application : Digital business and Industry.
We are seeking a researcher with a strong background in both Artificial Intelligence and Quantum Technologies, or with significant expertise in one of these fields and a keen commitment to build expertise in the other. This fellowship provides a unique opportunity to initiate a novel research line at the intersection of these two pioneering areas. The appointed fellow will drive research that explores how quantum computation can be utilized to accelerate AI, specifically through the application of quantum algorithms for neural network training and the integration of quantum states into AI models. This work will include studying quantum machine learning models and evaluating the potential benefits of quantum approaches in terms of speed and accuracy. Additionally, the fellow will have the opportunity to investigate how AI can uncover and enhance functionalities within Quantum Technologies. Research in this area will involve developing advanced quantum communication protocols, optimizing quantum operations, and identifying innovative applications for quantum systems in various domains.
The fellowship provides a unique opportunity for the researcher to establish new collaborations with prominent research institutions and industry partners, paving the way to bridge academic research with practical applications. The fellow will be responsible for initiating and fostering relationships with leading companies and research centers, actively contributing to advancements in the rapidly evolving field of A