DEEP-GRAPH: Design and Theory of Deep Graph Learning

Updated: 6 days ago
Deadline: 02 Feb 2026

24 Jan 2026
Job Information
Organisation/Company

Università degli Studi di Padova
Research Field

Engineering » Computer engineering
Researcher Profile

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

2 Feb 2026 - 23:59 (UTC)
Country

Italy
Type of Contract

To be defined
Job Status

Not Applicable
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The goal of the project is the advancement of the research of deep neural networks, in the field
of adaptive processing of graph data (Deep Graph Learning). The project includes the following strongly interconnected fundamental research topics: a) introduction of highly efficient DGL models to reduce the energy impact and increase the sustainability of DGL models; b) increase the expressiveness of DGL models, obtaining better predictive performances on existing tasks and enabling the application of DGL in
novel tasks where current methods do not achieve satisfying performances; c) extending the scope of DGL application, not only in terms of the considered tasks but also on the considered setting: e.g., dynamic (spatio/temporal) graphs pose several challenges and are not well studied to date, as well as the generation of graphs characterized by hierarchical structures; d) increase our theoretical understanding of existing DGL methods, as well as the ones developed in the project.


Where to apply
Website
https://pica.cineca.it/unipd/

Requirements
Additional Information
Eligibility criteria

Eligible destination country/ies for fellows:

  • Italy

Eligibility of fellows: country/ies of residence:

  • OTHER

Eligibility of fellows: nationality/ies:

  • OTHER

Additional comments
  • Annual budget: 22.500
  • Frequency of calls: 12 mesi
  • International mobility required: no

Website for additional job details

https://protocollo.unipd.it/albo/viewer

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


Contact
City

Padova
Website

https://www.unipd.it/

STATUS: EXPIRED

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