STAFF RESEARCH POSITION IN COMPUTATIONAL PATHOLOGY, MULTIMODAL AI AND PRECISION MEDICINE

Reference: 20261026_R_OPO24

This call is linked to the vacancy published in the DOGC no. 9316 on December 23, 2024.

Closing date: 4 November 2026, 23:59 local time (Barcelona, Spain)

The Computer Vision Center (CVC) invites applications for one Staff Research Position in Computational Pathology, Multimodal AI and Precision Medicine.

The successful candidate is expected to establish and lead a research line of international excellence at the intersection of computational pathology, multimodal artificial intelligence and precision medicine, contributing to the scientific leadership of CVC in AI for Healthcare and biomedical innovation.

About CVC

The Computer Vision Center (CVC) is a non-profit research institution dedicated to research and innovation in Computer Vision and Artificial Intelligence. Located on the campus of the Universitat Autònoma de Barcelona (UAB), the Centre promotes frontier research, technology transfer and the training of highly qualified researchers through collaborations with academia, industry and public institutions.

CVC is a member of the CERCA system and is committed to excellence in research, innovation and societal impact.

About the position

The selected candidate will establish and lead an independent research programme in Computational Pathology, Multimodal AI and Precision Medicine, advancing the development of novel artificial intelligence methodologies for the analysis, interpretation and integration of pathology data.

The position aims to establish a strategic research area at CVC focused on computational pathology,



multimodal foundation models and data-driven precision medicine, fostering close collaboration with leading hospitals, biomedical research institutes and AI infrastructures in Catalonia and Europe.

The research programme is expected to contribute to scientific advances in areas such as:

- Computational Pathology
- Digital Pathology
- Artificial Intelligence for Healthcare
- Medical Image Analysis
- Foundation Models for Biomedical Applications
- Precision Oncology
- Biomarker Discovery
- Clinical Decision Support Systems

The successful candidate will be expected to develop a long-term research vision, attract competitive funding, supervise research personnel and foster national and international collaborations with healthcare institutions, biomedical research centres and industrial partners.

Main Duties and Responsibilities

The selected candidate will:

- Lead an internationally competitive research programme in Computational Pathology, Multimodal AI and Precision Medicine.
- Develop innovative research addressing scientific and societal challenges in healthcare.
- Secure external funding through European, national and regional research programmes.
- Supervise doctoral researchers, postdoctoral researchers and technical staff.




- Promote interdisciplinary collaborations within and outside CVC.
- Contribute to scientific dissemination, innovation and technology transfer activities.
- Foster the translation of research outcomes into clinical practice and healthcare innovation.
- Support the strategic development of CVC in Artificial Intelligence for Health.

Eligibility Requirements

- Applicants must meet the following requirements by the application deadline.

Mandatory Qualifications

- PhD degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Imaging, Computational Biology, Bioinformatics or a related discipline.
- Minimum of 10 years of postdoctoral experience
- Outstanding scientific record demonstrating excellence and international visibility.
- Proven expertise in Computational Pathology, Medical Image Analysis, Artificial Intelligence or closely related research fields.
- Proven capacity to attract competitive research funding.
- Experience supervising researchers and students.
- Excellent oral and written communication skills in English.

Desirable Qualifications

Preference will be given to candidates with demonstrated expertise in one or more of the following areas:

- Whole Slide Image analysis.
- Foundation Models and Large Vision Models.
- Multimodal learning integrating pathology, imaging, genomics and clinical data.
- Precision Oncology.
- Explainable and trustworthy AI.
- Clinical validation and deployment of AI systems in healthcare environments.
- Technology transfer, innovation, intellectual property management or entrepreneurship.
- Leadership of international co

📌 CALL FOR APPLICATIONS (Bellaterra)
🏢 Universitat Autònoma De Barcelona
📍 Bellaterra