"HHPC - Horizon HPC" - Bando CR 008 2026 ISTI PI

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description The researcher will develop and test methods for analysing, semantically enriching and summarising mobility data to extract knowledge and interpret spatio-temporal behaviour. Activities will use data mining, machine learning and artificial intelligence to identify patterns and produce compact trajectory representations that preserve semantic information, integrating GPS traces, points of interest and contextual data. Experiments on real-world datasets and validation using appropriate metrics and statistical methods are planned. Scientific experience in the field, evidenced by relevant publications, will be valued. Results will be disseminated through scientific publications and participation in international conferences. Where to apply Website https://selezionionline.cnr.it/ . Requirements. Additional Information . Eligibility criteria. Eligible destination country/ies for fellows: . Italy. Eligibility of fellows: country/ies of residence: . Italy. EUROPE. OTHER. E.U. Eligibility of fellows: nationality/ies: . Italy. EUROPE. OTHER. E.U. Website for additional job details https://www.urp.cnr.it/node/54240. <h2