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The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University's third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us at the web page of the department of Information Technology.
This position is a part of a special project focusing on equal opportunities aspects in IT.
The position is hosted by the Division of Systems and Control, working closely with members of the Uppsala Social Robotics Lab. The postdoctoral project will be supervised by Katie Winkle (Vi3; Human-Machine Interaction) and David Sumpter (Division of Systems and Control).
Duties
This postdoctoral project brings together human-robot interaction with interactive and interpretable/explainable machine learning in the context of participatory automation - that is developing robots which can be “taught” by a diverse range of users. This approach aims to create contextually, socially appropriate machine behaviour whilst also delivering on EU Ethics Guidelines for Trustworthy AI.
The main tasks for the postdoc are to:
These systems will be used in projects on “teachable robots” for computing education and expert-taught social robots for health currently being undertaken at the social robotics lab.
The position is focused on the research in the described research project and includes a limited amount of teaching and departmental duties, but no more than 20%.
Requirements
PhD degree in Computer Science, Machine Learning, Robotics, or related areas or a foreign degree equivalent to a PhD degree in Computer Science, Machine Learning, Robotics, or related areas. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.
Proficiency and demonstrated experience with designing, implementing and evaluating machine learning systems is required. Good communication skills in English, both spoken and written, are required.
Additional qualifications
Experience specifically with interactive machine learning from human demonstrations or explainable machine learning is an advantage, as is experience in working with and implementing robot architectures (i.e. systems consisting of robot(s) plus multiple external input or output devices).
An interest in the social and ethical consequences of AI and robotics would be particularly appreciated.
The application must contain:
About the employment
The employment is a temporary position of 2 years according to central collective agreement. Full time position. Starting date as agreed, but latest on the 2024-06-30. Placement: Uppsala.
For further information about the position, please contact: Katie Winkle, katie.winkle@it.uu.se or David Sumpter, david.sumpter@it.uu.se, +4618 471 6226.
Please submit your application by 5 January 2024, UFV-PA 2023/4299.
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Type of employment | Temporary position |
---|---|
Contract type | Full time |
First day of employment | As agreed |
Salary | Individual salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Uppsala |
County | Uppsala län |
Country | Sweden |
Reference number | UFV-PA 2023/4299 |
Union representative |
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Published | 07.Dec.2023 |
Last application date | 05.Jan.2024 11:59 PM CET |