Dear Colleagues,
We are pleased to announce two PhD research positions at the Chalmers
Institute of Technology in Gothenburg, Sweden. The *application deadline
is 15 July* 2019.
We are looking for two talented and motivated researchers that would
like to pursue a PhD in the areas of AI and Robotics. Both positions
will start in September 2019 or soon after that. Each position is
limited to a maximum of five years. We are looking for candidates for
the following topics:
**Topic one:* Intelligent Agents that Learn from their Past Experiences
(Ref 20190206)
*Description:* 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 possibly 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.
*Further information about this position*, please visit:
http://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Page…
**Topic two:* Learning & Understanding Human-Centred Robotic
Manipulation Strategies (Ref 20190182)
*Description:* 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.
*Further information about this position*, please visit:
http://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Page…
Both PhD positions are offered at the Department of Electrical
Engineering in the area of Systems and Control within the Mechatronics
group. 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. Chalmers offers a cultivating and inspiring working environment
in the dynamic city of Gothenburg.
**Qualifications**
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 AI tools. Programming
skills in C++ are strongly required and knowledge in ROS (Robot
Operating System), Python, Prolog, Unity, and C# are welcome. A genuine
interest and curiosity in the subject, excellent oral and written
English communication skills are needed.
**Application procedure**
The application should be marked with Ref XXXX (depending on the topic,
see above) and written in English. The application should be performed
with the link provided earlier. Please include the following documents:
CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example, previous employment 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, e.g. TOEFL test results.
***Application deadline: 15 July 2019***
Please, do not hesitate to contact me for further information.
Best regards,
Karinne
