PhD student in Learning & Understanding Human-Centred Robotic Manipulation Strategies
ational work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.
The department provides about 100 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, “Electric Power Engineering”, ”Systems, Control and Mechatronics” and ”Communication Engineering”.
Information about the project
Human-robot collaboration is one of the most promising applications of autonomous robots. For this, robots need to interact with humans in a meaningful, flexible and adaptable manner, especially when new situations are faced. Currently, the new emerging technologies such as virtual reality and wearable devices allow capturing natural human movements of multiple users. Then, the next generation of learning methods should take advantage of and bootstrap the learning of new activities by adapting to the massive processing of information obtained from these enhanced sensors.
The goal of this PhD project is to develop semantic-based learning algorithms able to cope with a large amount of data generated from multi-modal/multi-level sensors and react to dynamically changing environments in real-time to produce robots with enhanced autonomy levels and manipulation capabilities. The massive collection of data will also contain information about the different styles of human demonstrations which will help in developing a more human-centred control solution.
The position is with the Mechatronics group at Chalmers, where a team of PhD students, post-docs and senior researchers is working on semantic-based methods and advanced decision-making algorithms in the area of Artificial Intelligence (AI) and Robotics. The group is a part of the Department of Electrical Engineering (E2), which to a large extent deals with the modeling and development of efficient systems for extracting and processing information. For more information on E2, see also www.chalmers.se/E2/.
Your main responsibility as a PhD student is to pursue your own scientific studies and to develop your abilities and knowledge within the research fields covered by the project. You are expected to develop your own scientific concepts and communicate the results of your research verbally at scientific conferences and in written journal articles. The position also includes certain departmental duties, typically in form of teaching, corresponding to about 20% of working hours.
Full-time temporary employment. The position is limited to a maximum of five years.
By the starting date, the applicant should have a Master of Science degree or equivalent in Electrical Engineering, Computer Science, Applied Math or in a related discipline. A successful applicant should have a strong background in machine learning methods and robotics as well as be familiar with reasoning methods and tools. Programming skills in C++ are strongly required and knowledge in ROS (Robot Operating System), Python, Unity, and c# are welcome. A genuine interest and curiosity in the subject, excellent oral and written English communication skills are needed.
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The application should be marked with Ref 20190182 and written in English. The application should be sent electronically and be attached as pdf-files, as below:
CV: (Please name the document: CV, Family name, Ref. number)
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.
Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
• 1-3 pages where you introduce yourself and present your qualifications.
• Previous research fields and main research results.
• Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, eg. TOEFL test results.
Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).
For more information click "LINK TO ORIGINAL" below.
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