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AISB opportunities Bulletin Item

Postdoc position on Long-Term Human-Robot Teaming for Robot-Assisted Disaster Response, Delft University of Technology, THE NETHERLANDS

The Interactive Intelligence group at Delft University of Technology (The Netherlands) is 
soliciting applications for a fully funded Postdoc position in Robotics (3 years) for the European 
FP7 project Long-Term Human-Robot Teaming for Robot-Assisted Disaster Response in the area of 
human-robot-team cooperation.

Project summary: Long-Term Human-Robot Teaming for Robot-Assisted Disaster Response (TRADR)
Using a proven-in-practice user-centric design methodology, TRADR develops novel Science & 
Technology (S&T) for human-robot teams to assist in disaster response efforts, over multiple 
sorties during a mission persistently. Various kinds of robots collaborate with human team members 
to explore the environment, and gather physical samples. Throughout this collaborative effort, 
TRADR enables the team to gradually develop its understanding of the disaster area over multiple, 
possibly asynchronous sorties (persistent environment models), to improve team members 
understanding of how to work in the area (persistent multi-robot action models), and to improve 
team-work (persistent human-robot teaming).

Postdoc position
The goal of the project is to develop a multi-agent logic-based framework for representing and 
reasoning about human-robot teamwork. The framework should support coordinated decision-making 
and allow a robot to share information with team members to enhance situational awareness, 
explain its choice of action to other team members, and facilitate the decision-making of the 
robot. The reasoning framework needs to be integrated into a cognitive control architecture, 
based on a sound domain analysis, and, in line with the user-centric development approach used 
in the project be applied in realistic evaluations in large-scale static disaster areas.

You have obtained an PhD degree or expect to obtain an PhD very soon. Interested applicants 
should have a background and interest in some or all of the following subjects, or a closely 
related discipline: cognitive robotics, multi-robot coordination, human-robot interaction and 

The successful applicant will have:
 the ability to play a role in the supervision of PhD students;
 the ability to work in a multi-disciplinary team;
 good oral and written communication skills;
 proficiency in English;
 good programming skills;
 curiosity and good analytical skills.

Conditions of employment
TU Delft offers an attractive benefits package, including a flexible work week, free high-speed 
Internet access from home (with a contract of two years or longer), and the option of assembling a
customized compensation and benefits package (the 'IKA'). Salary and benefits are in accordance 
with the Collective Labour Agreement for Dutch Universities.

Interested applicants should send:
- an up-to-date curriculum vitae,
- a letter of application,
- a transcript of grades obtained during MSc studies,
- the names and contact information (telephone number and e-mail address) of two references.
The letter of application should summarize: 1) why the project is of interest to the applicant 
and 2) a brief description of the applicant's prior experience in robotics (e.g., a description 
of the research performed in the context of the applicant's MSc thesis). Please e-mail your 
application by November 22, 2013 to Hr-eemcs@tudelft.nl.
When applying for this position, please refer to vacancy number EWI2013-35.
Contract type: Temporary, 3 years
Delft University of Technology (TU Delft) is a multifaceted institution offering education and 
carrying out research in the technical sciences at an internationally recognized level. Education, 
research and design are strongly oriented towards applicability. TU Delft develops technologies 
for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you 
will work in an environment where technical sciences and society converge. TU Delft comprises 
eight faculties, unique laboratories, research institutes and schools.

The Department of Intelligent Systems conducts research on processing and interpretation of data 
to enable man and machine to deal with the increasing volume and complexity of data and 
Additional information
Koen Hindriks
+31 (0)15-2782523