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/SEA), and programming or data analysis in Python, MATLAB, Julia or similar tools. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and
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experience of building energy simulation and/or urban building energy modelling (UBEM). Strong programming and data-analysis skills (e.g. MATLAB, Python or equivalent). Very good command of spoken and written
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statistical computing, visualisation and data analysis tools (e.g. R, Python or similar) are also considered a merit. Emphasis is also placed on personal characteristics such as strong interpersonal skills
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are a strong merit but not a requirement. Programming knowledge in Python, and experience of data science tools such as Numpy, Pandas or Matplotlib is a merit, as well as experience of using modern deep
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and communication. Additional qualifications Relevant postdoctoral studies or equivalent industry experience are a strong merit but not a requirement. Programming knowledge in Python, and experience
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skills using statistical computing and visualization tools (e.g. R, Python or similar) are also considered a merit. The ability to handle large analytical datasets and to work in a structured and
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if the candidate has skills in programming languages (e.g. python, R), has experience in fieldwork and has a driving licence. In the recruitment process we will place great emphasis on the candidate’s
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, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible
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required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation
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of robot cells, for example in RobotStudio, and digital twins. Good knowledge in configuration, programming and commissioning of industrial robots and associated software. Good programming skills in Python