Postdoc: Learning for Self-Healing of Multi-Machine Systems

Postdoc: Learning for Self-Healing of Multi-Machine Systems

Published Deadline Location
6 Mar 31 May Delft

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Job description

The goal of this project is to design novel methods to ensure the normal operation of multi-machine systems for transport and logistics, in the presence of multiple defective components and high system uncertainty.
The post-doctoral researcher will conduct fundamental theoretical and algorithmic research on multi-agent reinforcement learning for fault-tolerant control with applications to maritime transport systems.  The researcher will join a multi-disciplinary team led by Dr. Vasso Reppa, Assistant Professor with the Department of Maritime and Transport Technology, and by Dr. Wei Pan, Assistant Professor, with the Department of Cognitive Robotics.

The post-doctoral researcher is expected to bridge the expertise of the two departments by integrating cognitive fault tolerant control and decentralized multi-agent reinforcement learning techniques for the self-healability of multi-machine systems in the maritime transport domain (e.g. autonomous ships, automated container terminals).

[1] Wen, Y., Yang, Y., Luo, R., Wang, J., & Pan, W. (2019). Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. International Conference on Learning Representation (ICLR).

[2] Reppa, V., Polycarpou, M. M., & Panayiotou, C. G. (2015). Decentralized isolation of multiple sensor faults in large-scale interconnected nonlinear systems. IEEE Transactions on Automatic Control

[3] Ferranti, L., Negenborn, R. R., Keviczky, T., & Alonso-Mora, J. (2018). Coordination of Multiple Vessels Via Distributed Nonlinear Model Predictive Control. In 2018 European Control Conference (ECC).

Specifications

Delft University of Technology (TU Delft)

Requirements

We are looking for a talented post-doctoral researcher with background and interest in control theory and machine learning; a track record of publications in high-quality journals and/or conferences; and an excellent command of the English language (knowledge of Dutch is not required). Additional knowledge on motion planning, distributed control and/or maritime transportation will be an advantage.

Conditions of employment

Fixed-term contract: 1 year.

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.

Employer

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

Department

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 Department of Maritime and Transport Technology (MTT) studies how to develop, design, build and operate marine, dredging and transport systems and their equipment. New generation transport and marine systems require the further development of the knowledge of the dynamics and the physical processes involved in transport, dredging and marine systems, the logistics of the systems and the interaction between the equipment and control systems. 

The Department of Cognitive Robotics (CoR) develops intelligent robots and vehicles that will advance mobility, productivity, and quality of life. The mission of CoR 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 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 and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia.  

For more information on the research activities of the departments, please see: https://www.tudelft.nl/en/3me/departments/maritime-and-transport-technology/ and www.cor.tudelft.nl/.

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

Specifications

  • Postdoc; Research, development, innovation
  • Engineering
  • max. 38 hours per week
  • €3255—€4274 per month
  • Doctorate
  • 3mE19-21

Employer

Delft University of Technology (TU Delft)

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Location

Mekelweg 2, 2628 CD, Delft

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