Two postdoctoral positions are available in the Artificial Intelligence Unit of the European Centre for Living Technology @ Ca’ Foscari University of Venice, Italy.
1. Machine learning methods for knowledge graph exploration. The focus is the development of advanced machine learning techniques based on the use of knowledge graphs in order to automatically select and/or generate personalized content to cultural heritage users. The work will be done within the EU-funded project MEMEX: MEMories and EXperiences for inclusive digital storytelling.
2. Countering evasion attacks in adversarial machine learning. The focus is the development of unsupervised and semi-supervised machine learning models based on game theory and related approaches to counter evasion attacks, namely attacks that manipulate input data to evade a trained classifier at test time. The work will be done within the MIUR-funded project REXlearn: Reliable and Explainable Adversarial Machine Learning.
Link: https://www.unive.it/data/28825/
Deadline: January 13, 2020
The initial appointments will be for one year, renewable on a yearly basis.
The projects offer competitive salaries and the opportunity to work closely with high-profile members of the project consortia across Europe in the heart of one of the world's most fascinating cities.
Candidates should possess a Ph.D. degree in Computer Science or related disciplines. In addition, they should have a good background in machine learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team.
For more information about these positions, please contact: Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo.
Marcello Pelillo, FIEEE, FIAPR
Professor of Computer Science
Ca' Foscari University of Venice, Italy
