Managing an adaptive AI-enabled bi-causal connection in IoT systems

Updated: 13 days ago
Deadline: 01 Jun 2024

18 May 2024
Job Information
Organisation/Company

Dipartimento di Ingegneria della Università degli Studi del Sannio
Research Field

Engineering » Computer engineering
Researcher Profile

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

Italy
Application Deadline

1 Jun 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

In behavior-enabled IoT systems, the interrelationship and trade-offs between quality of experience (QoE) and quality of service (QoS) assume a prominent role in satisfying users expectations. The objective of the research is to design and implement a framework for running AI-enabled models to adapt IoT systems to follow human behaviors compatibly with the constraints imposed by the available resources or to suggest different behaviors when the resources are not sufficient or too expensive.


Requirements
Additional Information
Eligibility criteria

Admission requirement: old-school degree diploma in Computer Engineering or IT, obtained according to the system prior to the entry into force of Ministerial Decree 3 November 1999, n. 509, or Specialist Degree in Computer Engineering or Information Technology, Class 35S or 23S, obtained pursuant to Ministerial Decree 3 November 1999, n. 509 and subsequent amendments and additions, or Master's Degree in Computer Engineering or Information Technology, Class LM32 or LM-18, obtained pursuant to Ministerial Decree 22 October 2004, n. 270 and subsequent amendments and additions, or in possession of an equivalent qualification obtained abroad or declared as such by law, together with the possession of a scientific-professional curriculum suitable for carrying out research activities.


Eligible destination country/ies for fellows:

  • Italy

Eligibility of fellows: country/ies of residence:

  • EUROPE

Eligibility of fellows: nationality/ies:

  • EUROPE

Selection process

Evaluation of qualifications and interview.


Additional comments
  • Annual budget: 25000
  • Frequency of calls: mensile
  • International mobility required: no

Website for additional job details

https://www.unisannio.it/it/amministrazione/avviso/20240216

Work Location(s)
Number of offers available
1
Company/Institute
Dipartimento di Ingegneria della Università degli Studi del Sannio
Country
Italy
Geofield


Where to apply
Website

http://www.unisannio.it

Contact
City

Benevento
Website

http://www.unisannio.it

STATUS: EXPIRED

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