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Development of a real-time alert management and machine learning-based classification platform Bologna
EUR 30,000 - 50,000
ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - DIPARTIMENTO DI FISICA E ASTRONOMIA Organisation/Company: ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - DIPARTIMENTO DI FISICA E ASTRONOMIA
Research Field: Physics » Other
Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)
Application Deadline: 28 Feb 2025 - 23:59 (UTC)
Type of Contract: To be defined
Is the job funded through the EU Research Framework Programme?
Horizon 2020




Offer Description The hired person will contribute to the working plan of ACME WP5.
In particular, they will contribute to the setup of a multimessenger low latency environment, including GW alerts in collaboration with the INFN low latency group.
Responsibilities include:
Contribution to task 5.2: Real-time data management, alert filtering, and classification.
Task 5.4: Platforms and tools for alert visualization and data analysis.
We aim to utilize developments from the ESCAPE and EOSC-Future projects, specifically Wavefier, a tool for real-time analysis on Kafka data management with applications of Machine Learning for fast classification.
We intend to implement Machine Learning pipelines for signal and noise classification in the CNAF computing facilities.

Eligibility of fellows Country/ies of residence: All
Nationality/ies: All
Number of offers available: 1
Company/Institute: ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - DIPARTIMENTO DI FISICA E ASTRONOMIA
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