Connectionists: Two postdoctoral positions at the University of Venice, Italy

[Marcello Pelillo]

Two postdoctoral positions are available in the Artificial Intelligence Unit
<https://www.unive.it/pag/37559/> of the European Centre for Living
Technology <http://www.ecltech.org> @ Ca’ Foscari University of Venice
<http://www.unive.it>, 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: pelillo at unive.it

-- 
Marcello Pelillo, *FIEEE, FIAPR*
Professor of Computer Science
Ca' Foscari University of Venice, Italy
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