Postdoc in Knowledge-based Self-adaptive ROS2 architectures

Faculteit/afdeling: Faculty Mechanical, Maritime and Materials Engineering
Niveau: Gepromoveerd
Functie-omvang: 38.0 uur per week
Contractduur: 1 year
Salaris: 3389 - 4274 euro per maand (volledige dagtaak)
U bekijkt een vacaturetekst oorspronkelijk opgesteld in het Engels.
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Faculty Mechanical, Maritime and Materials Engineering


The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.



The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of autonomous robots, machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute, our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia (ROS-Industrial consortium). For more information, see Cognitive Robotics (CoR).  www.cor.tudelft.nl



 

Functie omschrijving

The TU Delft Robotics Institute of the Delft University of Technology, the Netherlands, announces a vacancy for a 1 year postdoc position on the topic of knowledge-based self-adaptive ROS2 architectures for autonomous robots, in the context of the MROS project (supported by the H2020 project RobMoSys http://robmosys.eu/).



Job description:




  • Research the integration of self-reconfiguration mechanisms based on ontological reasoning for ROS2 robot architectures, in the context of the RobMoSys model-driven approach;

  • Coordinate project related work, attend meetings and reporting;

  • Dissemination of project results in leading journals and conferences;

  • Contribution to our research on symbolic reasoning and self-adaptive architectures for autonomous robots;



You will be part of the Robot Dynamics unit, within the Cognitive Robotics department, and will have the opportunity to work in an exciting and innovation environment, in close collaboration with our researchers and PhD students.

Functie eisen

The ideal candidate for this position has a PhD degree in Computer Science, Software Engineering, Robotics or a related field. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains, including the following skills:




  • proficiency programming in C++/Python and Java;

  • expertise in symbolic reasoning, knowledge representation and ontologies;

  • familiarity with ROS;

  • excellent written and verbal English skills are required.



Additionally (a plus):




  • experience in self-adaptive software systems, product lines or dynamic architectures;

  • software engineering skills and experience with the Eclipse framework;

  • experience in ROS2;

  • experience with mobile robots and the ROS navigation stack.

Arbeidsvoorwaarden

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

Informeren en solliciteren

For information about this vacancy, you can contact Carlos Hernandez, Assistant Professor, email: c.h.corbato@tudelft.nl.


Applications shall be emailed to: application-3mE@tudelft.nl.



When applying for this position, please refer to vacancy number 3mE19-66.



An application dossier consists of the following documents:




  • detailed curriculum vitae and list of publications;

  • a brief statement of motivation and research interests (up to 1 page);

  • academic transcripts of all the exams taken and all the obtained degrees (in English);

  • names and contact information of up to three references (e.g., project/thesis supervisors);

  • up to three research-oriented documents (e.g., thesis, conference/journal publications).



All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-66. The available  position will be filled as soon as possible (i.e. once a suitable candidate is found). This means that the selection of candidates will already start before the application deadline.


Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld.

Factsheet

Faculteit/afdeling
Faculty Mechanical, Maritime and Materials Engineering
Niveau
Gepromoveerd
Functie-omvang
38.0 uur per week
Standplaats
Delft
Contractduur
1 year
Salaris
3389 - 4274 euro per maand (volledige dagtaak)

Sluitingsdatum
15 oktober 2019
Vacaturenr.
3mE19-66


Informatie

Voor meer informatie over deze vacature kun je contact opnemen met Carlos Hernandez.

T
E c.h.corbato@tudelft.n

Voor informatie over de selectieprocedure kun je terecht bij:

E application-3mE@tudelft.nl


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