Pre-Doctoral AI Researcher for Medical Imaging

Universidad de Alicante; España; Presencial; EUR 17.000 - 20.000; Jornada completa

Descripción de la vacante

Universidad de Alicante invites applications for a fixed-term pre-doctoral researcher position to collaborate on the project “EXPLORA-TENN. Theoretical Approaches for Neural Network Expressivity” within the Department of Computer Science and Artificial Intelligence.

The role supports doctoral training through UA’s Mobile Vision Research Lab as part of a larger research plan. The successful candidate will work on deep learning for medical image analysis, with a focus on self-supervised methods,

Formación

• Undergraduate degree in Biomedical Engineering or equivalent, plus a Master’s degree in Biomedical Engineering or equivalent.
• Meet the academic requirements for admission to the UA PhD programme in Computer Engineering.
• Compliance with the general and specific requirements to apply for research staff positions at UA.

Responsabilidades

• Develop and apply deep learning techniques for medical image processing and analysis, with emphasis on unsupervised/self-supervised methods.
• Analyze the impact of low supervision on latent spaces and network expressivity, including out-of-distribution data in medical contexts.
• Link architectures to neural theory, adapting models to high-dimensional imaging data.
• Analyze and interpret results via deep learning and mathematical modeling.
• Prepare scholarly publications and disseminate results in AI and deep neural networks.

Conocimientos

English proficiency

PyTorch

Educación

Undergraduate degree in Biomedical Engineering

Master’s degree in Biomedical Engineering

Herramientas

PyTorch

Descripción del empleo

Universidad de Alicante invites applications for a fixed-term pre-doctoral researcher position to collaborate on the project “EXPLORA-TENN. Theoretical Approaches for Neural Network Expressivity” within the Department of Computer Science and Artificial Intelligence.

The role supports doctoral training through UA’s Mobile Vision Research Lab as part of a larger research plan. The successful candidate will work on deep learning for medical image analysis, with a focus on self-supervised methods,