PhD Opportunities in Deep Learning in Italy

PepPERMIT is a CDT studentship project at Imperial College London combining experimental peptide science with machine learning to understand how peptides enter living cells. The research will systematically investigate peptide cellular uptake using high-throughput live-cell liquid chromatography–mass spectrometry (LC-MS) and computational analysis. The student will work on laboratory screening of peptides, peptide synthesis and the generation of chemical datasets describing peptide properties an...

Jiaqi Ye, Assistant Professor in AI and Robotics at the University of Birmingham, is seeking a PhD student for research in robot perception, robotics and computer vision within the School of Engineering. The research explores how robots can move beyond recognising objects to understanding their physical properties and interacting with them reliably in complex, changing environments. The work combines computer vision, multimodal sensing and deep learning to support robust robotic perception and a...

Teesside University is offering a fully funded PhD opportunity in a research group working at the intersection of computational systems biology and deep learning . The project is aimed at a researcher interested in time-resolved multimodal artificial intelligence for applications involving imaging, omics, biotechnology and food. The work brings together AI and machine learning approaches with biological and data-rich research questions, with an emphasis on integrating multiple types of informati...

PRIMA-CMR is a collaborative EuroTech Universities Alliance project between Eindhoven University of Technology and the Technical University of Munich, focused on making cardiac MRI safer by enabling much lower use of gadolinium-based contrast agents. The PhD project sits in the Medical Image Analysis group in the Department of Biomedical Engineering at TU/e and centers on trustworthy generative AI for dynamic cardiac MRI. The successful candidate will develop new methods that recover diagnostic ...

This PhD project focuses on radar remote sensing for detecting logging in tropical forests , with the broader aim of supporting tools that help curb illegal timber trade. The successful candidate will work on a research project developing independent techniques to verify timber origin under new international legislation. You will process and analyse novel satellite radar data and develop remote-sensing methods to identify logging occurrence and logging intensity across pantropical forests. The p...

This PhD project focuses on patient-specific liver deformation modelling for radio-frequency liver tumour ablation , where accurate prediction of organ movement is essential for treatment planning and intraoperative guidance. The project develops an AI-driven framework that combines strong modelling approaches to capture liver deformation at the patient level. A major part of the research is tackling the interpretability problem of deep learning systems. The PhD candidate will investigate method...

The University of Amsterdam’s Faculty of Science is recruiting multiple PhD candidates for a project on symmetries and their breaking in deep learning , supported by a Simons Foundation grant. The positions are based in the Amsterdam Machine Learning Lab (AMLab), in a new research group led by Associate Professor Nabil Iqbal at the intersection of deep learning and physics. The project seeks mathematically principled explanations for how modern neural networks develop complex capabilities from s...

NTNU is offering a PhD project in machine learning for the conservation of historic buildings. The position is part of the Marie Skłodowska-Curie Action CHARM Doctoral Network, which develops resilient, sustainable and climate-adapted methods for conserving architectural heritage. The project, titled “Understanding conservation condition and rehabilitation needs at district scale in time of energy saving and climate change via machine learning driven method,” focuses on using artificial intellig...

This doctoral project is based in the Department of Medical Radiation Physics at Lund University and carried out within the university’s Magnetic Resonance Imaging (MRI) research group . The group focuses on developing new techniques for quantitative MRI using different contrast mechanisms. The research topic is diffusion MRI (dMRI) , with a particular emphasis on improving how diffusion is encoded and analysed so that MRI can reveal more about tissue microstructure in the living human body. The...