Postdoctoral position in Social Robotics
Sort on published: 2019-05-06
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 44.000 students, 7.100 employees and a turnover of SEK 7 billion.
The Department of Information Technology conducts research and education in a spectrum of areas within Computer Science and Information Technology. For more information, see http://www.it.uu.se
The Uppsala Social Robotics Lab (http://hri.research.it.uu.se/) led by Dr. Ginevra Castellano aims to design and develop robots that learn to interact socially with humans and bring benefits to the society we live in, for example in application areas such as education and assistive technology.
The topic of the position is social learning for co-adaptive social human-robot interactions.
The postdoctor will have the opportunity to work in one or more projects on personalised and co-adaptive human-robot interaction, funded by the Swedish Research Council and the Swedish Foundation for Strategic Research, in collaboration with KTH Stockholm. The project will include the development of novel user modeling and adaptive learning methods to allow social robots to adapt in a natural, personalised way to their users, as well as the implementation of human-robot interactions studies to test the effectiveness of these methods. The candidate will be expected to collaborate closely with the project partners and be involved in supervision of PhD and MSc students.
The postdoctor will be part of the Uppsala Social Robotics Lab at the Division of Visual Information and Interaction of the Department of Information Technology.
The Uppsala Social Robotics Lab’s focus is on natural interaction with social artefacts such as robots and embodied virtual agents. This domain concerns bringing together multidisciplinary expertise to address new challenges in the area of social robotics, including mutual human-robot co-adaptation, multimodal multiparty natural interaction with social robots, multimodal human affect and social behavior recognition, multimodal expression generation, robot learning from users, behavior personalization, effects of embodiment (physical robot versus embodied virtual agent) and other fundamental aspects of human-robot interaction (HRI). State of the art robots are used, including the Pepper, Nao and Furhat robotic platforms. The Lab is involved in a number of different national and EU-funded projects in collaborations with international partners.
The position is focused on research but may include a limited amount of teaching and institutional (max 20%) duties.
Requirements: To qualify for an employment as a postdoctor you must have a PhD degree or a foreign degree equivalent to a PhD degree in human-robot interaction or related areas relevant to the postdoc topic. The PhD degree must have been obtained no more than three years prior to the application deadline. The three year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. The position is highly interdisciplinary and requires an understanding and/or interest in psychology and social sciences. Excellent skills in spoken and written English are required.
The ranking of eligible applicants will be based primarily on research expertise relevant for the project: research experience in human-robot interaction studies, social robotics, machine learning. High-quality publications as principal author in international peer-reviewed journals or conferences are expected. Documented successful teamwork and organizational skills are of particular importance. The assessment of applications is based primarily on the applicant's ability to conduct independent research based on scientific skill. Greater importance is attached to the quality of individual scientific work than to the amount of publications.
Additional qualifications: Good programming skills and documented ability to conduct user studies are appreciated. Experience in machine learning for human-robot interaction is appreciated.
The application should include a CV, a 1-page research statement, degrees certificates, a web reference to the PhD thesis, and a cover letter (indicating the name of referees and the earliest possible start date).
Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.
Salary: Individual salary.
Starting date: As soon as possible or as otherwise agreed.
Type of employment: Temporary position for 2 years, according to central collective agreement.
Scope of employment: 100 %
For further information about the position please contact: Dr. Ginevra Castellano, firstname.lastname@example.org
Please submit your application by 17 May 2019, UFV-PA 2019/1464.
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Placement: Department of Information Technology
Type of employment: Full time , Temporary position longer than 6 months
Pay: Fixed salary
Number of positions: 1
Working hours: 100%
County: Uppsala län
Number of reference: UFV-PA 2019/1464
Last application date: 2019-05-17
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