6/2026/CONTRATTO DI RICERCA - Development of Machine Learning methodologies for the analysis and detection of anomalies in atomic clock signals

ppOrganisation/Company Istituto Nazionale di Ricerca Metrologica Research Field Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 6 Oct 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No /ph3Offer Description /h3pWithin the Space It Up! project,the research activity will focus on the development of AI-based methodologies for monitoring and analysing high-reliability systems used in the space sector,with particular emphasis on signals generated by atomic clocks,which are key components of satellite navigation systems and timing infrastructures.The research will include the acquisition,organisation and validation of datasets from ground-based and spaceborne atomic clocks;the development of data pre-processing and preparation procedures;he design,training and optimisation of Machine and Deep Learning algorithms for anomaly detection and characterisation;and the comparison with conventional anomaly-detection methods through suitable performance indicators.The activity will also include the physical interpretation of detected anomalies,validation of the results, software development, and dissemination of the research outcomes through technical reports and scientific publications. /ppQualifications and interview.br/Please refer to the public selection notice published on the website indicated above for details regarding the admission requirements and the selection criteria. /pulliItaly /li /ulpbEligibility of fellows: country/ies of residence: /b /pulliOTHER /li /ulpbEligibility of fellows: nationality/ies: /b /pulliOTHER /li /ulh3Selection process /h3pPublic selection for Qualifications and interviewbr/For further information, please refer to the notice of competition published on the above-mentioned website /p /p #J-18808-Ljbffr