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The AIRO group (Artificial Intelligence and Robotics) of the IDLab at Ghent University is looking for two PhD students to help with our research on social robotics and machine learning.
Social robots are robots which interact with people in a natural manner by, for example, using speech, gestures, facial expressions and language. As social robots use natural communication, they are easier to interact with and this has many applications in entertainment, services, education, collaborative robotics and therapy.
Now however, these robots are only able to interact with us for a limited amount of time before we lose interest. Our research aims to change that. The project will study long-term human-robot interaction: what psychological and technical elements are needed for a social robot to become an engaging and relevant social partner? We will explore approaches to draw people into a human-robot interaction, starting from first principles on what makes interaction long-term between people. Next, we will implement studies to validate our theories and identify application domains where social robots can make a difference (such as education, support or customer service). We will very much use an explorative approach, using curiosity-led research to arrive at scientifically, societally and technically relevant results.
You will be supervised by Prof Tony Belpaeme (www.tonybelpaeme.me) together with Prof Francis wyffels, Prof Jelle Saldien and Prof Joni Dambre. You will be part of a vibrant and interdisciplinary research team, focusing on human-robot interaction, unconventional robotics, cognitive systems and machine learning. You will have access to the full facilities of IDLab, including high performance computing/GPU clusters and the HomeLab living lab.
Ghent University (www.ugent.be) is a top 100 university in Belgium situated in the historical and trendy city of Ghent. With 41,000 students and 9,000 staff, the university is one of the largest universities in the wide region. Ghent University’s mission is to combine high-quality education with internationally leading research and a pluralistic social responsibility. You will join the AIRO group which is part of IDLab, a research lab consisting of more than 300 researchers developing today the tech of tomorrow.
Profile of the candidate
You must have an MSc degree in computer science, electrical engineering, technical cognitive science or areas relevant to the research topic (for example, psychology with a keen interest in robotics and AI). Good programming skills are required (C++, Python, or other), training in machine learning or robotics is commendable. English will be the primary language used (spoken as well as written). The PhD position is highly interdisciplinary and requires an understanding and/or interest in psychology and social sciences.
- The position start date is negotiable.
- The net amount of the scholarship will be approximately €2000 per month, increasing annually. You will also receive a holiday allowance and an end-of-year bonus, and will enjoy full social security cover. Additional financial support is available for attending conferences and workshops.
- You will be affiliated with the Artificial Intelligence and Robotics group of the IDLab. While the research will be based in Ghent, occasional travel to international conferences will be required.
- You will be enrolled in the doctoral training programme offered by the Doctoral School of Engineering.
- Ghent University and AIRO lab encourages equal opportunities. We will consider applications based only on your potential as an early career researcher and your fit to the research programme.
How to apply
For informal queries, do not hesitate to contact Tony Belpaeme (email@example.com). Your application should include
- A letter motivating your application including a small research proposal (3 pages maximum). Why do you wish to pursue a PhD in social robotics? What prior experience do you have? How would you approach human-robot interaction and long-term engagement?
- A CV, with copies of relevant exams, grades, master thesis work or publications.
- The names and contact details of at least 2 referees. Recommendation letters can be included with your application, but are not needed at the time of application.
Applicants should send their application to firstname.lastname@example.org with subject “PhD application”. The application deadline is Friday 10 January 2020. Selected candidates will be invited for interview, which can be organised over Skype if necessary.