Career

hunters-race-MYbhN8KaaEc-unsplash
The PRISCA lab at the University of Naples Federico II is looking for multiple postdoctoral researchers and research assistants in Human-Robot Interaction.

Applications are invited from candidates with a master’s degree or PhD in Artificial Intelligence, Cognitive Sciences, Psychology, or other relevant disciplines. Candidates are expected to have research expertise in Human-Robot Interaction and Social Robotics. Preferable knowledge and hands-on experience with ROS, C/C++, Python.

According to the preferred and most suitable position for the candidate, the research activities will be framed within the following projects: CHIST-ERA on Explainable Machine Learning-based Artificial Intelligence – COHERENT “COllaborative HiErarchical Robotic ExplaNaTions” project, and Italian PON I&C 2014-2020 MISE BRILLO “Bartending Robot for Interactive Long-Lasting Operations” project or ClassMate Robot project for the development of robotics application in educational settings.

The selection will be based on CV and a skype interview.

For further information and to apply please contact Prof. Silvia Rossi (silrossi@unina.it).
The Institute for Computational Perception at Johannes Kepler University (JKU) Linz currently offers two PhD student positions. The institute is looking for two highly motivated students to join their young team in the ‘Multimedia Mining and Search’ and ‘Human-centered AI’ groups.

  • Position 1: Job recommender systems (with a focus on bias and fairness of content-based RS), for 24 months, starting November 2021
  • Position 2: Music recommender systems (with a focus on context-awareness, holistic user modeling, and explainability), for 36 months, starting October 2021
If you are interested and have a strong background in recommender systems, natural language processing, machine learning, user modeling, web mining, and/or data analytics, please contact Univ.-Prof. D.I. Mag. Dr. Markus Schedl (markus.schedl@jku.at) and include the following documents:
  • Curriculum vitae
  • Publication list (if you already published in scientific venues)
  • Certificates (including English translations!)
  • Statement of your research expertise and interests related to the project topics
Description:
This PhD looks at using errors in ubiquitously available radiofrequency signals around us (such as Wi-Fi, mobile phone data, etc) to understand more about the environment, people dynamics and objects between the receivers and the broadcasting device. The Radio Frequency (RF) signals can be attenuated and degraded due to the objects and humans between the transmitters and receivers. This PhD model such effects on the signals features to be able to estimates the number of people in the room, to map indoors, estimates the thickness of walls etc.

Details:
The Institute for Information Science and Language Technology at the University of Hildesheim is looking for a research assistant.

Tasks:
  • Collaboration in the ExpResVip project for visual information retrieval with the following focus:
    • Development and design of graphical user interfaces (GUIs)
    • Formative system evaluation
Requirements:
  • University degree in Information Science or similar fields
  • Willingness to work and research in interdisciplinary teams
  • Knowledge in the following areas:
    • Human-computer interaction and user experience
    • Development of GUIs and web applications
    • Experience with development tools
More information at: https://www.uni-hildesheim.de/stellenmarkt/stellenanzeige/2021-119-wissenschaftliche-mitarbeiterin-wissenschaftlicher-mitarbeiter-m-w-d-tv-l-e-13-100/

Application deadline: August 03, 2021.
Description:
It looks at the spatial and temporal patterns of missingness in surveys, administrative and crowdsourced data, where it is plausible that the propensity to respond is linked to the unrecorded value. This PhD recognises the spatial patterns in the missingness that can relate the missingness and the missing values. These can help us to understand society better at an aggregated level, design better surveys, and impute missing values more effectively.

Details:

Last edited on