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ISCApad Archive » 2019 » ISCApad #249 » Jobs » (2019-01-19) Several positions at the University of Naples Frederic II, Italy |
ISCApad #249 |
| Monday, March 11, 2019 by Chris Wellekens |
6-57 (2019-01-19) Several positions at the University of Naples Frederic II, Italy
Job: Post-Doc Position
Start: Spring 2019
Duration: The grant will be for 18 months, renewable up to 6 (by mutual consent), with a yearly salary of ? 25.000,00
Topics: Adaptive Multimodal Human-Robot and Machine Interaction
Language requirement: English
Description:
The goal is to study and design adaptive multimodal interaction mechanism. In multimodal interaction, research focus is to rely on different modalities and investigate how to apply fusion techniques on these in order to generate the correct interpretation of the user intention. Here, we will investigate also how to select the proper communication channels and to optimize their features to each user. In this view, the majority of the robotic applications are based on static user models: this prevents systems from adapting independently and proactively to changes in the needs and preferences of users. The aim of the present proposal is to investigate how to merge human-robot and, in general, human-machine multimodal interaction research issues with online adaptive learning ones.
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Job: Research Assistant
Start: Spring 2019
Duration: The grant will be for 12 months, with a yearly salary from ? 15.000,00 up to 25.000,00 (depending on the experience and seniority of the candidate)
Topics: Social Signal Processing in Rehabilitation Domains
Language requirement: English
Description:
Social Signal Processing is the discipline concerned with the automatic analysis of human social behaviour and with the generation of coherent social signals in artificial embodied agents. The AVATEA project (Advanced Virtual Adaptive Technologies e-hEAlth) aims at providing an adaptive support to therapists and children during motor rehabilitation sessions so, in this domain, the proper recognition of social signals, such as attention, engagement and distress could provide a valuable index of therapeutic effectiveness. Formalising such measures will be the main topic of interest for candidates to this position, together with the appropriate research about methods to elicit social behaviour in children suffering from different, and possibly limiting, diseases.
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Job: Research Assistant
Start: Spring 2019
Duration: The grant will be for 12 months, with a yearly salary from ? 15.000,00 up to 25.000,00 (depending on the experience and seniority of the candidate)
Topics: Machine Learning for Profiling of Physical Capabilities
Language requirement: English
Description:
The AVATEA project (Advanced Virtual Adaptive Technologies e-hEAlth) aims at providing an adaptive support to therapists and children during motor rehabilitation sessions. To provide such support, it is necessary that the system is able to profile the physical capabilities of the patients and monitor his/her performance during the rehabilitation sessions by analyzing temporal data produced by different wearable sensors and sensors to be positioned on the instruments used for the exercises. Machine learning approaches supporting the creation of a user model will be investigated to address this problem.
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Job: Research Assistant
Start: Spring 2019
Duration: The grant will be for 12 months, with a yearly salary from ? 15.000,00 up to 25.000,00 (depending on the experience and seniority of the candidate)
Topics: Personalization in Human-Robot Interaction
Language requirement: English
Description:
The project PRIN UPA4SAR (User Profiling and Adaptation for Socially Assistive Robotics) goal is to design an adaptive behavior of a robotic system that is in charge of monitoring the user's Activity of Daily Living (ADL) in the case of people with dementia. In our opinion, the robot presence, in order to be effective and well accepted by users, must be the least invasive as possible. In fact, an interactive robotic device whose behavior is unrelated to the specific needs of a person, his/her abilities and preferences can cause discomfort. The majority of the robotic applications are based on static user models and on the specification of all the possible contexts of interaction. This makes such systems incapable of adapting independently and proactively to changes in the needs and preferences of users. In this direction, our goal is to design an adaptive behavior of the robotic system that is able to regulate its social interaction parameters (e.g., the interaction distances, proxemics, the speed of movements, and the same modality of interaction) on the basis of personality factors as well as of the cognitive state of the user.
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Applications are invited from candidates with Master Degree or a PhD in Cognitive Science, Robotics, Computer Science, Artificial Intelligence, Electronic Engineering or other relevant disciplines.
The selected candidate will join the PRISCA Laboratory (Projects of Intelligent Robotics and Advanced Cognitive Systems) in Naples. The PRISCA Lab is a dynamic, international, and multidisciplinary team that offers exciting scientific projects, as well as an excellent and stimulating research environment (http://prisca.unina.it/).
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How to apply
Closing Date: 15 February 2018
The selection will be based on CV and a skype interview.
Please send your CV and letters of recommendation to prof. Silvia Rossi (silrossi@unina.it)
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