Univeristy of Florence-Study of deep learning-based models for multimodal data analysis- published on the

Updated: 28 days ago
Deadline: 27 May 2024

14 May 2024
Job Information
Organisation/Company

Università degli Studi Firenze
Research Field

Engineering » Computer engineering
Researcher Profile

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

Italy
Application Deadline

27 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 aim of the research is the study of models based on deep learning techniques capable of analyzing different types of multimodal data. You want to be able to simulate data from different sources, e.g. RGB, Lidar or radar data, or analyze different modalities, such as those resulting from the analysis of images and associated texts. The envisaged applications range from the analysis of different sources for autonomous driving applications as well as the analysis of documentary data.


Requirements
Additional Information
Eligibility criteria

Master of Science in Computer Engineering
Master's Degrees in Computer Science


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 titles and examination by means of an interview


Website for additional job details

https://titulus.unifi.it/albo/viewer?view=files/005514554-UNFICLE-728b059e-0c15…

Work Location(s)
Number of offers available
1
Company/Institute
Università degli Studi Firenze
Country
Italy
Geofield


Where to apply
Website

http://www.unifi.it

Contact
City

Firenze
Website

http://www.unifi.it

STATUS: EXPIRED

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