The TU Delft Robotics Institute of the Delft University of Technology, the Netherlands, announces a vacancy for a 1.5 years postdoc position on the topic of knowledge-based autonomous robots, in the context of the EU-H2020 project "ROSIN".

Job description:

•  carry out research activities in the field of software engineering for robotics;
•  coordinate project related work, including our ROS MOOC;
•  contribution to research on self-adaptive control architectures, ontologies and symbolic reasoning;
•  dissemination of project results in leading journals and conferences;
•  contribution to ROS-Industrial activities in the lab;
•  supervision of student projects (MSc level).

You will be part of the Robot Dynamics unit, within the Cognitive Robotics department. 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). www.cor.tudelft.nl/ 

The ideal candidate for this position has a PhD degree in Robotics, Computer Science, Software Engineering 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;
•  experience with ROS or ROS2;
•  experience in knowledge representation, ontologies, model-driven software;
•  excellent written and verbal English skills are required.

Additionally (a plus):

•  software engineering skills and experience in model-driven environments, e.g. Eclipse EMF;
•  affinity and experience developing robotics software and integrating real robotic applications;
•  experience with mobile robots and the ROS navigation stack;
•  experience in self-adaptive software systems, product lines or dynamic architectures.

Fixed-term contract: 18 months.

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.

Delft University of Technology

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised 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.

https://www.tudelft.nl

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 Cognitive Robotics department within the 3mE Faculty aims to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. Its mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and interaction. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. For more information, see Cognitive Robotics (CoR).
https://www.tudelft.nl/en/3me

https://www.tudelft.nl/en/3me