The opening within the Learning and Autonomous Control group is in the area of Intelligent Control for Soft Robotics. Topics of interest include, but are not limited to, machine learning for control, system identification, co-optimization of control and hardware design.

Candidates are expected to be, or be on their way to becoming, authorities in their own field of research, and to complement and enrich the existing research programs in the department.

We expect you to:
• Develop, conduct and supervise high-quality academic research in your field;
• Teach general and specialized courses at undergraduate and post-graduate levels, and inspire students through teaching and post-graduate supervision;
• Interact and collaborate with other researchers and specialists in academia and industry within multidisciplinary research projects;
• Bridge the gap between theoretical knowledge and the development of new, innovative technologies;
• Secure external funding for research projects;
• Be an inspiring contribution to our staff.

Applicants should have the following qualifications:
• PhD degree in Computer Science, Mechanical/Electrical Engineering, Applied Mathematics, Systems and Control, Artificial Intelligence or related disciplines. Experience in robotics and/or intelligent vehicle technology is an asset;
• Strong analytical skills and ability/interest to work at the intersection of several research domains;
• Experience as a Post-Doc;
• Experience outside the Netherlands;
• Excellent track record in scientific research, as evident from papers in international and peer-reviewed journals;
• High motivation for implementing your own vision within the interdisciplinary environment that CoR offers;
• Team player with the ability to clearly communicate and eager to look for and exploit synergies CoR and its network provides.

Fixed-term contract: tenure track.

A tenure track position is offered for a maximum of six years. Tenure Track is a process leading up to a permanent appointment with the prospect of becoming an Associate Professor. During the Tenure Track, you will have the opportunity to develop into an internationally acknowledged and recognized academic. To support that, we offer a structured career and personal development program, which accounts for individual needs and preferences. For more information about the tenure track and the personal development program, please visit www.tudelft.nl/tenuretrack.
Based on performance indicators agreed upon at the start of the appointment, a decision will be made at the end of the fifth year whether to offer you a permanent faculty position.
The salary for a Tenure Track (Assistant Professor) position is min. €3.637 to max. €5.656 per month gross. For exceptionally strong candidates, a shortened tenure track period or Associate Professor position can be considered. Starting salary is based on level of knowledge and (postdoctoral) experience. All salaries mentioned are based on full time contracts.
The TU Delft offers a customizable 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. The TU Delft offers trainings to improve English and Dutch language competencies. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
TU Delft creates equal opportunities and encourages women to apply.

Technische Universiteit Delft

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.

Faculty Mechanical, Maritime and Materials Engineering

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in ground breaking 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 has the mission to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. 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. Of special interest are robotic solutions for complex, human-inhabited environments. Collaborations exist with cross-faculty institutes (TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international academia and industry.

The Learning and Autonomous Control team focuses on robot control methods spanning the whole range from high-level cognitive approaches including adaptation and learning to low-level motion control. We develop novel algorithms, methods, and solutions in currently the following areas of robotics: (i) robot learning - reinforcement learning and deep learning for teaching robots interactively, from human demonstrations and also for continual improvement of the robot’s performance; (ii) robot navigation - motion planning in dynamic environments, social interaction with other agents and real-time computational aspects of model predictive control; (iii) multi-robot control - real-time coordination, dynamic vehicle routing and task assignment, multi-agent learning and security and privacy aspects of multi-robot systems. We apply our novel methods to industrial robotics, agro-food and retail robotics, mobile manipulation, autonomous driving, aerial vehicles, and intelligent transportation.

For more information, see Cognitive Robotics (CoR)
https://www.tudelft.nl/en/3me/about/departments/cognitive-robotics-cor/