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Modelling (MLM), and latent profile analysis. Experience in managing projects, implementing large-scale surveys, and analysing large datasets are relevant strengths. The appointee should also have a high
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mining, epistemic network analysis and cluster analysis. Experience in managing and analyzing large datasets, and the use of generative AI tools for research purposes are relevant strengths. The appointee
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15 Nov 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Educational sciences Psychological sciences Researcher Profile Recognised Researcher (R2
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data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding of causal inference methods is essential to develop
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experience working with unstructured data, such as LinkedIn data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding
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-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data
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scientific publications; (4) a transcript of graduate school grades and an abstract of the PhD thesis; (5) name and contact information of three professional referees. Review of applications and interview