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<p class="MsoNormal"><b>Curriculum</b>: Industry 4.0 Hosting Institution Istituto Italiano di Tecnologia (IIT) and Università di Genova
<o:p></o:p></p>
<p class="MsoNormal"><b><span lang="EN-US">Department</span></b><span lang="EN-US">:
</span><span lang="EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">IIT: Informatics and Communication Technology (ICT)
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">uniGE: Department of Computer Science, Bioenginering, Robotics and Systems Engineering (Dibris)
<o:p></o:p></span></p>
<p class="MsoNormal"><b>Tutor(s)</b>: Dr. Francesco Rea, Dr. Alessandra Sciutti, Dr. Stefano Bencetti; Prof. Nicoletta Noceti<o:p></o:p></p>
<p class="MsoNormal"><b><span lang="EN-US">Description</span></b><span lang="EN-US">:
</span><span lang="EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US">In the field of cyber security the effectiveness of security measures to protect personal data is increasing, people remain susceptible to manipulation and thus the human element remains the
weakest link: social engineering. The overall aim of the project is to investigate how to prevent disclosure of sensitive information applied to the areas where humans use interconnected technologies (e.g. robotics, IOT, Big Data Analytics systems) especially
in the context of human machine interactions (e.g.: robot companion, assistive robotics, home assistance, etc.). The aim unfolds into two goals for the candidate. First, the ideal candidate is required to develop algorithms of human machine interaction relying
on cutting-edge machine learning techniques that allow the artificial intelligence to adapt to the person. The second goal is to improve the robustness and high integrity of system architectures (cyber-physical security) relying also on computer vision and
adopted for above-mentioned cutting-edge technologies. As outcome of the project, such methodologies will be concretely applied to innovative applications especially involving robotics technologies designed at the Istituto Italiano di Tecnologia to make the
applications socially aware and socially acceptable.<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><b><span lang="EN-US">Application online available at
</span><a href="https://urldefense.com/v3/__https:/drim.i-rim.it/it/ammissione-2/__;!!LIr3w8kk_Xxm!tyQpVCRzhWZITn9u5kfCdy-IyT27G36rD2l9uMQdgnTPeabz3F9ckWqVR7lgvdPS22GRpWOoxmKZym_bIHf-2xFSBxCTa14U$"><span lang="EN-US">https://drim.i-rim.it/it/ammissione-2/</span></a></b><b>
<span lang="EN-US"><o:p></o:p></span></b></p>
<p class="MsoNormal" style="text-align:justify"><b><span lang="EN-US">Requirements:
<o:p></o:p></span></b></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US">Applicants are expected to have very good skills in at least two of the following areas: software development, computer vision, robot programming, machine learning. Furthermore, good attitude
for experimental work is mandatory. The candidates must have: very good programming skills with different languages (including C/C++, Python, 6 Matlab/Simulink); be capable to conduct experiments; attitude to problem solving, and be strongly motivated for
team working.<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><b>References: <o:p></o:p></b></p>
<p class="MsoNormal" style="text-align:justify">• Pasquali D., Gonzalez-Billandon J., Aroyo A.M., Sandini G., Sciutti A., Rea F. (2021).
<span lang="EN-US">Detecting Lies is a Child (Robot)’s Play: Gaze-Based Lie Detection in HRI. International Journal of Social Robotics
</span><span lang="EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US">• Pasquali D., Gonzalez-Billandon J., Rea F., Sandini G., Sciutti A. (2021). Magic iCub: A humanoid robot autonomously catching your lies in a card game. ACM/IEEE International Conference on
Human-Robot Interaction <o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US">• Pasquali D., Sciutti A., Sandini G., Bencetti S., Rea F. (2022); Toward a HumanOriented Social Engineering Defense System; Workshop: AI for Cybersecurity, Second CINI National Conference on
Artificial Intelligence (Ital-IA)<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><b><span lang="EN-US">Number of positions available:</span></b><span lang="EN-US"> 1
<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><b><span lang="EN-US">Deadline:</span></b><span lang="EN-US"> 28<sup>th</sup> of November, 2022<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><b><span lang="EN-US">Main Research Site:
</span></b><span lang="EN-US">Istituto Italiano di Tecnologia, Via Morego, 30 16163 Genova - Italy CONTACT - COgNiTive Architecture for Collaborative Technologies (IIT)
</span><a href="https://urldefense.com/v3/__https:/www.iit.it/it/web/cognitive-architecture-for-collaborative-technologies/home__;!!LIr3w8kk_Xxm!tyQpVCRzhWZITn9u5kfCdy-IyT27G36rD2l9uMQdgnTPeabz3F9ckWqVR7lgvdPS22GRpWOoxmKZym_bIHf-2xFSB0de7VOT$"><span lang="EN-US">https://www.iit.it/it/web/cognitive-architecture-for-collaborative-technologies/home</span></a>
<span lang="EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><b>Contacts:</b> Dr. Francesco Rea,
<a href="mailto:Francesco.Rea@iit.it">Francesco.Rea@iit.it</a>; Dr.; Alessandra Sciutti,
<a href="mailto:Alessandra.Sciutti@iit.it">Alessandra.Sciutti@iit.it</a>; Dr. Stefano Bencetti,
<a href="mailto:Stefano.Bencetti@iit.it">Stefano.Bencetti@iit.it</a> ; Prof. Nicoletta Noceti,
<a href="mailto:Nicoletta.Noceti@unige.it">Nicoletta.Noceti@unige.it</a><o:p></o:p></p>
<p class="MsoNormal" style="text-align:justify"><b><span lang="EN-US">Funding Scheme:</span></b><span lang="EN-US"> this doctorate position is fully funded by the proponent research institution<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
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