High-performance and Low-power algorithms and software for Machine Learning and Artificial Intelligence

Updated: 2 months ago
Job Type: PartTime
Deadline: 15 Mar 2024

26 Feb 2024
Job Information
Organisation/Company

university of Naples “Federico II"
Department

Department of Electrical Engineering and Information Technologies (DIETI)
Research Field

Information science » Other
Researcher Profile

First Stage Researcher (R1)
Country

Italy
Application Deadline

15 Mar 2024 - 13:00 (Europe/Rome)
Type of Contract

Not Applicable
Job Status

Part-time
Is the job funded through the EU Research Framework Programme?

European Union / Next Generation EU
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The main goal of the research activity will consist in the development of high-performance and low-power algorithms and software for machine learning and artificial intelligence, with particular emphasis on edge computing environments. More specifically, the research will address problems related to classification and/ or recognition of objects and materials in various application contexts ( e.g., SAR data processing, medical image classification, recognition of objects and materials scattered in the environment) through model adaptation techniques to reduce the dimensionality of collected data and their subsequent processing without interaction with remote servers. 


Requirements
Research Field
Information science » Other
Education Level
Master Degree or equivalent

Internal Application form(s) needed
MODELLO_Annex B - Annex C.HPC_.pdf
English
(163.71 KB - PDF)
Download
Additional Information
Additional comments

Annual  Budget: € 19.367,00

Frequency of calls: 12 months


Website for additional job details

https://www.unina.it/documents/11958/50816407/DIETI_AR-07_2024-02-22_bando.pdf

Work Location(s)
Number of offers available
1
Company/Institute
University of Naples "Federico II" - Department of Electrical Engineering and Information Technologies
Country
Italy
State/Province
Naples
City
Naples
Postal Code
80125
Street
Via Claudio 21
Geofield


Where to apply
E-mail

[email protected]

Contact
State/Province

no
City

Naples
Website

https://www.dieti.unina.it
Street

Via Claudio 21
Postal Code

80125
E-Mail

[email protected]
[email protected]
Phone

0817683216

STATUS: EXPIRED

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