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Field
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-inspired and computationally efficient methods. Modern machine learning methods often depend on enormous datasets and extensive computing resources. This trend limits their scalability, increases
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outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen your application: Knowledge in combinatorics, numerical optimisation and computational geometry Basic
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data with advanced numerical models of hull, engine, and propeller dynamics. By combining physics-based simulations with data-driven methods, the digital twin will enhance understanding of ship behavior
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Engineers within the international master’s programme Mobility Engineering. About the research project This project aims to improve ship energy performance through the integration of AI, big data analysis
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Deadline 15 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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hired at BTH will mainly focus on two aspects of neuromorphic computing: Guidelines / frameworks for mapping applications to neuromorphic systems. Efficient training methods of neuromorphic applications
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computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project
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19 Dec 2025 Job Information Organisation/Company Kungliga Tekniska högskolan Department School of Electrical Engineering and Computer Science at KTH Research Field Technology » Computer technology
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an international environment, surrounded by colleagues, with great opportunities to influence and develop. The Department of Computer Science and Informatics offers academic programmes in subjects ranging from
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the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal hierarchical characterization. The project is mainly computational with