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The University of Helsinki ( https://www.helsinki.fi/en ), founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic
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The University of Helsinki ( https://www.helsinki.fi/en ), founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic
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graph theory. Computational methods are central; the team operates a 500‑core cluster. We both compete with and leverage AI; see: https://www.aalto.fi/en/news/researcher-cracks-new-kissing-number-bounds
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in a relevant engineering field, experience in programming and interest in applying AI tools in electromagnetic modeling. In particular, experience with or interest in some of the following are
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, computer science or other related fields) Good programming skills in R and/or Python ; experience with Unix/Linux environments and bash is considered an advantage Prior experience in the preprocessing
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experience is considered an advantage: Antimicrobial resistance research Metagenomics, microbial genomics, or bioinformatics Statistical programming in R or Python High-performance computing environments
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. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . Desired background We are looking for
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calibration routines for photoacoustic and optical aerosol measurements. The work combines hands-on instrumentation, laboratory experiments, uncertainty analysis, programming and scientific data analysis
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-resolved measurements of their bidirectional reflectance distribution function (BRDF). The work combines optics, precision measurement, surface characterization, programming and quantitative data
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developing, testing and validating new traceable calibration routines for photoacoustic and optical aerosol measurements. The work may also include experimental design, uncertainty analysis, programming