Phd Student Position In "Intelligent Agents That Learn From Their Past Experiences" Chalmers University of Technology Department of Electrical Engineering Sweden

Phd Student Position In "Intelligent Agents That Learn From Their Past Experiences"

 

 

At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrification.


We offer a dynamic and international 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”.

Read more at www.chalmers.se/en/departments/e2

 

Information about the research


Embodied Artificial Intelligence is a multidisciplinary area that requires the cooperation of different fields such as computer science, engineering, robotics and dynamical systems. This PhD thesis will develop a novel learning algorithm to allow high-level intelligence, such as problem-solving and reasoning to be applied to real-world physical systems, e.g. robots. Mainly, this work will be focused on investigating learning methods on the semantic aspects of intelligence to develop general purpose solutions for robotic applications.


The goal of this PhD thesis is to develop compact and flexible model representations to allow robots the transference of their past experiences to current situations. These compact models should be human-readable to provide adequate feedback to the person interacting with the intelligent agent, e.g. a robot. This feedback should provide information to users, in an efficient form, about possible hazardous situations and potential errors, by predicting ahead-of-time the actions performed by either a human or a robot to infer their potential consequences. Thus, the communication between the users and the robots should be meaningful and bi-directional.


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 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.



Major responsibilities


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.



Position summary


Full-time temporary employment. The position is limited to a maximum of five years.


Qualifications


By the starting date, the applicant should have a Master of Science degree or equivalent in Computer Science, Electrical Engineering, 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 Prolog are welcome. A genuine interest and curiosity in the subject, excellent oral and written English communication skills are needed.



To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field.



The position requires sound verbal and written communication skills in Swedish and English. If Swedish is not your native language, you should be able to teach in Swedish after two years. Chalmers offers Swedish courses.



Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.


Our offer to you


Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg
Read more about working at Chalmers and our benefits for employees.


Application procedure


The application should be marked with Ref 20190206 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)
• CV
• 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?

Other documents:
• 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).

Application deadline: 15 July 2019



For questions, please contact:
1. Assis. Prof. Karinne Ramirez-Amaro, Systems and Control, e-mail: karinne@chalmers.se
2. Prof. Jonas Sjöberg, Systems and Control, e-mail: jonas.sjoberg@chalmers.se

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   


Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Building Futures, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!


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