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