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
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