PhD Opportunities in Deep Learning

This PhD project investigates whether artificial intelligence can understand, rather than simply predict, complex engineering dynamical systems. The research will combine deep learning with the mathematics of nonlinear dynamics to uncover hidden low-dimensional structures underlying vibrations, flutter, instabilities, multiple stable states, internal resonances and sudden bifurcations in aerospace systems. Working within the University of Southampton’s Computational Engineering and Design group,...

This PhD opportunity focuses on developing multimodal foundation models and agentic artificial intelligence for heart rhythm disorders at Imperial College London. The project will combine electrocardiograms, electronic health records, clinical free text and medical imaging. The research will investigate foundation models, multimodal fusion, large language models and agentic AI, including AI co-scientist approaches that support multiple stages of the research process. The student will work within...

The University of Eastern Finland is recruiting three doctoral researchers for the School of Computing on the Kuopio campus to join the ERC-funded MINE-THE-GAP project. The project combines satellite imagery, mining data reports, and AI to study mining activities and their impacts worldwide, with a focus on improving transparency and sustainability in mining. Each doctoral researcher will lead an individual thesis within one of three research themes: mapping mining land use through semantic segm...

This PhD scholarship is based at Monash University’s Clayton campus in Melbourne and sits at the intersection of quantum computing and artificial intelligence. The project aims to develop novel quantum artificial intelligence models that are intrinsically robust against adversarial attacks, with potential applications in areas such as autonomous vehicles, military systems, and medical diagnostics. The successful candidate will join the Scalable Quantum Systems Lab, led by Professor Muhammad Usma...

Susquehanna International Group is expanding its Machine Learning group within Quantitative Research in Bala Cynwyd, Pennsylvania, and is seeking a Machine Learning Researcher to join its team. The role sits in a global quantitative trading environment where machine learning and advanced quantitative research are used to uncover signals from large financial datasets and support systematic trading strategies. The researcher will work on forecasting problems spanning time series analysis, natural ...

This opening is for a Quantitative Researcher role at Optiver, with opportunities available for both internship and full-time hiring across the Chicago, Austin, and New York City offices. The role sits inside a highly applied research environment focused on global financial markets. You would work alongside researchers, engineers, and traders to investigate large-scale market and order-flow data, frame research questions, test hypotheses, and build models that can be evaluated in live trading en...

The Department of Computer Science at Norwegian University of Science and Technology (NTNU) is recruiting a PhD Candidate to work on explainable AI for capsule endoscopy within the EU-funded CAPTURE Marie Skłodowska-Curie Actions Doctoral Network. The position is based in Gjøvik, Norway , and is part of NTNU’s Colourlab research environment. The project focuses on making automated pathology detection in wireless capsule endoscopy more interpretable and clinically useful. You will work on methods...

This PhD project at the Department of Computer Science, Norwegian University of Science and Technology (NTNU) focuses on machine learning for temporal and spatiotemporal data , including time series and multivariate time series observed on graph nodes and edges. The research is centered on forecasting and on detecting disruptions in data drawn from complex networked systems. The position is embedded in STRIDE , an interdisciplinary NTNU project on the resilience of transport systems. Transport n...

PhD Candidate in Machine Learning for Temporal and Spatiotemporal Data The Department of Computer Science at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, invites applications for a four-year PhD position in machine learning. The project is part of STRIDE, an interdisciplinary initiative studying the resilience of transport systems under disruptions. The research will develop deep-learning methods for temporal and spatiotemporal data, including multivariate time...