Defining Artificial Intelligence and Machine Learning methods and techniques for Machine-aided design

1 May 2024
Job Information

Organisation/Company

Università degli Studi Roma Tre

Research Field

Engineering

Researcher Profile

Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)

Country

Italy

Application Deadline

31 May 2024 - 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 an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The research is part of the strategic specialization area "Digital Transition" of Flagship Project #6 "Artificial intelligence, virtual
reality and digital twin for advanced engineering and aerospace" defined within the Rome Technopole project. The research
shares the objectives defined within Working Group #1, namely Advanced Real-Time Modeling employed during
the design and engineering phases using Artificial Intelligence and Machine learning methods and techniques, and experimentation on
use cases that include the aeronautical domain

Requirements
Additional Information
Eligibility criteria

Eligible destination country/ies for fellows:

• Italy

Eligibility of fellows: country/ies of residence:

• EUROPE

Eligibility of fellows: nationality/ies:

• EUROPE

Website for additional job details

https://www.uniroma3.it/ricerca/assegni-di-ricerca/

Work Location(s)

Number of offers available

1

Company/Institute

Università degli Studi Roma Tre

Country

Italy

Geofield

Where to apply

Website

https://www.uniroma3.it/ricerca/assegni-di-ricerca/

Contact

City

Roma

Website

https://www.uniroma3.it/ricerca/assegni-di-ricerca/

STATUS: EXPIRED