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interdisciplinary work, for example in medicine or life sciences, who address key issues in AI such as reproducibility, safety, trustworthiness and robustness, and who engage with the theoretical and algorithmic
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learning tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development
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Primary Supervisor -Prof Michal Mackiewicz Scientific background Marine litter is a key threat to the oceans health and the livelihoods. Hence, new scalable automated methods to collect and analyse
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Systems Laboratory of Prof. Dimitris Anastassiou (https://engineering.columbia.edu/faculty/dimitris-anastassiou) in the Department of Electrical Engineering has openings for Associate Research Scientists in
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for photocatalytic degradation and H2 production.Designing multi-objective optimization algorithms to maximize environmental and economic performance. Your RoleAs a PhD researcher, you will: Build and validate hybrid
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supervision/coordination of the grant: Prof. Rui Paulo Pinto da Rocha IV - Work Plan / Goals to be achieved: 1. Design and implementation of local control laws to enable emergent swarm behaviors for deploying a
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A PhD position starting November 1, 2025 (with some flexibility in both directions) is available at the University of Southern Denmark (SDU) for research in an exciting project in algorithmic
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research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive
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Prof. Alan Mislove, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design
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vision and work on the lab website (huda-lab.github.io). HuDa lab examines data and decision-making from a tooling and systems-building perspective[1] . You can learn more about the lab’s PI, Prof Azza