PRIN 2022 iSafety: Leveraging artificial intelligence techniques to improve occupational and process safety in the iron and steel industry

18 May 2024
Job Information

Organisation/Company

CNR Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR-CNR)

Research Field

Computer science » Informatics

Researcher Profile

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

Country

Italy

Application Deadline

30 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

CALL ICAR 009 2024 CS: Developing Machine Learning-based Solutions for Detecting Anomalous Behaviors in Smart Industries

Requirements
Additional Information
Eligibility criteria

Eligible destination country/ies for fellows:

• Italy

Eligibility of fellows: country/ies of residence:

• AFRICA
• EUROPE
• OCEANIA
• NORTH AMERICA
• SOUTH AMERICA
• ASIA
• E.U.
• CHINA (MAINLAND)
• CHINA (HONG KONG)

Eligibility of fellows: nationality/ies:

• AFRICA
• EUROPE
• OCEANIA
• NORTH AMERICA
• SOUTH AMERICA
• ASIA
• E.U.
• CHINA (MAINLAND)
• CHINA (HONG KONG)

Selection process

The evaluation committee will judge the candidates on the basis of their experience and publications and on an oral examination

Additional comments

• Annual budget: 19367
• Frequency of calls: mensile
• International mobility required: no

Website for additional job details

https://www.urp.cnr.it/documenti/assegni-di-ricerca

Work Location(s)

Number of offers available

1

Company/Institute

CNR Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR-CNR)

Country

Italy

Geofield

Contact

City

Rende (CS)

Website

http://www.icar.cnr.it

STATUS: EXPIRED