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University of Florence- Architectures and methodologies of Software Engineering for Artificial []

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Job Location

it, Italy

Job Description

Organisation/Company: Università degli Studi Firenze Research Field: Engineering » Computer engineering Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3) Country: Italy Application Deadline: 20 Jan 2025 - 23:59 (UTC) 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 Offer Description The research falls within the scientific field commonly referred to as Software Engineering for Artificial Intelligence (SE4AI). It combines languages, technologies, and methods for the design, analysis, and development of software systems achieving reliability and efficiency in the integration of components based on Machine Learning and Artificial Intelligence algorithms and technologies. The research develops in the specific context of the research and technology transfer project called "AI based Service management Suite - AISS" which aims to bring into use artificial intelligence and machine learning methods in the context of a workflow management system applied to services for the digitalization of processes. The research focuses in particular on architectures and methods that allow achieving efficiency and reliability requirements in the development of applications that integrate networks of agents based on Large Language Models (LLM). Minimum Requirements Master's degree in Computer Science or equivalent Master's degree related to the research programme, or equivalent degree obtained abroad Eligibility of Fellows Country/ies of residence: EUROPE Nationality/ies: EUROPE Selection Process Evaluation of titles and examination by means of an interview. J-18808-Ljbffr

Location: it, IT

Posted Date: 1/12/2025
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euraxess.ec.europa.eu - Jobboard

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January 12, 2025
UID: 5006376913

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