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EURAXESS

PRIN 2022 M4C2 1.1-Application of predictive and generative artificial intelligence techniques to waveform signals

Università Ca' Foscari Venezia The Human Resources Strategy for Researchers
2 Feb 2024

Job Information

Organisation/Company
Università Ca' Foscari Venezia
Department
Department of Environmental Sciences, Informatics and Statistics
Research Field
Computer science » Informatics
Researcher Profile
First Stage Researcher (R1)
Recognised Researcher (R2)
Country
Italy
Application Deadline
Type of Contract
Temporary
Job Status
Other
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 research grant aims at developing new machine learning techniques capable of operating on waveform signals or their compact representations for generative applications. In particular, the research will be of support to the long-term objective of the EYE-FI.AI project, which is to analyze the interference caused by objects and humans on an electromagnetic signal in order to perform tasks such as object or person recognition, reconstruction of the area occupied by a person, and recognition and reconstruction of simple actions from observations of the signal behavior over time

Requirements

Research Field
Computer science » Informatics
Education Level
Master Degree or equivalent
Research Field
Engineering » Computer engineering
Education Level
Master Degree or equivalent
Research Field
Computer science » Other
Education Level
Master Degree or equivalent
Skills/Qualifications

The interview will held in remote only, aims to ascertain competence on the following topics:
- Generative AI,
- Diffusion models,
- Autoregressive models,
- Neural Networks,
- Geometric Deep Learning.
- ascertainment of Italian language for foreign candidate(s),
- ascertainment of knowledge of English as a foreign language

Languages
ENGLISH

Additional Information

Benefits

The research fellowship amounts to 19.367,00 Euros per year, including taxes and social charges

Eligibility criteria

The selection is made through evaluation of candidates' scientific and professional qualifications, curriculum vitae, scientific production, followed by an interview

Selection process

The interview will be on 23th February 2024 at 5.00 p.m. The interview will be held in remote.
The short-list of the candidates admitted to the interview, or any postponement, will be published on the University’s webpage by 21th February 2024

Website for additional job details

Work Location(s)

Number of offers available
1
Company/Institute
UNIVERSITA' CA' FOSCARI VENEZIA
Country
Italy
State/Province
no
City
VENEZIA
Postal Code
30123
Street
DORSO DURO 3246

Contact

State/Province
no
City
VENEZIA
Website
Street
DORSO DURO 3246
Postal Code
30123
E-Mail
ricerca.dais@unive.it