CVC-CERCA seeks a fellow to contribute to cutting-edge AI research in Digital Business and Industry. Projects in this area include Quantum Machine Learning for quantum computing, Explainable AI models for image enhancement, and adaptive algorithms for foundation models and AI-enhanced document understanding. This role is perfect for researchers with expertise in machine learning, quantum computing, or computational modelling who are eager to drive innovations with real-world industrial applications.
Key Responsibilities*:
- Develop Quantum Machine Learning models and explore their applications in reinforcement learning and image processing.
- Create explainable and user-interactive models for image and data enhancement.
- Research and design adaptive algorithms for continuous learning in foundation models.
- Research intelligent access methods for document collections using trustworthy multimodal AI models.
Qualifications:
- PhD in Computer Science, Quantum Computing, Machine Learning, or related fields.
- Experience in Quantum Machine Learning, explainable AI, or foundation model adaptation.
- Proven problem-solving skills and experience working with complex data systems
* Candidates are not expected to address all these items simultaneously; these represent the broader research directions of the role.
- Dimosthenis Karatzas and Ernest Valveny lead research on multimodal document collection and trustworthy AI.
Email: dimos@cvc.uab.es ; ernest@cvc.uab.es
Web: http://vlr.ai/
Keywords: Multimodal Large Language Models; Document Visual Question Answering; Trustworthy AI; Privacy; Robustness; Explainability.
Available Infrastructures: GPU clusters (A40, L40).
Possible Secondments: Yooz (France); Rossum (Czech Republic); Snowflake (Poland); CISPA (Germany); Univ. of Helsinki (Finland); IIIT Hyderabad (India).
- Fernando Vilariño leads research on Quantum Machine Learning.
Email: fernando@cvc.uab.es
Web: http://qml.cvc.uab.es
Keywords: Quantum Information; Quantum Computing; Machine Learning.
Available Infrastructures: GPU Cluster; CPU Cluster.
Possible Secondments: Eurecat, GMV, UAB.
- Javier Vázquez Corral leads research on explainable models for image enhancement.
Email: jvazquez@cvc.uab.cat
Web: https://jvazquezcorral.github.io/
Keywords: Colour; Image Enhancement; Colour Perception; Explainable and Interactive Image Enhancement.
Available Infrastructures: GPU Cluster.
Possible Secondments: Different universities abroad.
- Joost van de Weijer and Bogdan Raducanu lead research on continual adaptation of foundation models.
Email: joost@cvc.uab.es ; bogdan@cvc.uab.cat
Web: https://lamp.cvc.uab.es/
Keywords: Continual Learning; Domain Adaptation; Foundation Models; Generative Models; Diffusion Models.
Available Infrastructures: Several GPU clusters.
Possible Secondments:
