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The position is located at the Department of Electrial and Information Technology, within the Division of Secure and Networked Systems. The division has 18 senior researchers and about 20 PhD
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, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
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challenges, and we are currently moving the code to a new python based High Performance Computing enabled modelling framework. This is an exciting opportunity to contribute to a high-impact scientific codebase
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, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
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, 55% during 2026 and estimated between 20–40% from 2027), with a focus on providing expert support and developing solutions for research projects that require expertise primarily in GIS and network
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, or network-based, Bayesian or matrix factorization methods for multi-omics integration Ability to independently perform data analysis and scientific interpretation based on omics data at an internationally
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partial differential equations (PDEs) using deep kernel learning, which integrates deep neural networks into Gaussian processes constrained by PDEs. Drawing on tools from numerical analysis and reproducing
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with global system mapping using network methodologies. More information on the PhD program at the Department of Human Geography is available at https://www.keg.lu.se/en/research/phd-education/phd-in
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energy efficiency. Independence and high motivation to support research projects are expected. Experience in coding for building simulation using Grasshopper and proficiency in database creation are highly
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based on advanced methods in statistical modelling, machine learning (including artificial neural networks) and geographic information analysis. You will be part of two dynamic research environments