The SENTIENT project will develop efficient scheduling methods for networked control systems implemented in event-triggered form. The objective is to abstract the traffic of such control systems in the form of timed-automata. The resulting models will then be employed in the synthesis of schedulers. The research will require the use of interdisciplinary skills in the fields of control of hybrid systems, communication networks, and timed-automata theory. Two test-beds will be employed in the research, each assigned to one PhD:

• PhD1 will apply his/her research to a wireless control system of a (scaled-down) water distribution network.
• PhD2 will apply his/her research to a control bus in a real-time industrial automotive simulator.

Applicants should have the following qualifications:
• An MSc degree in systems and control, applied mathematics, electrical engineering, computer science, or a related field.
• Basic knowledge of control systems theory (maybe waived if the candidate is particularly skilled in theoretical computer science).
• Strong analytical skills and ability to work at the intersection of several research domains, in particular control systems theory and computer science.
• Basic programming skills in C/C++ are expected.
• Good command of the English language and communication skills.

Fixed-term contract: 4 years.

The 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.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit graduateschool.tudelft.nl/ for more information.

For more information about this position, please contact dr. M. Mazo Espinosa, m.mazo@tudelft.nl. To apply, please submit the following:
(1) a detailed curriculum vitae,
(2) a separate motivation letter stating why the proposed research topic interests you, names and contact information of references, and other information that might be relevant to your application,
(3) academic transcripts of both your BSc and MSc degrees.
Please e-mail your application by 15 November 2017 to Irina Bruckner, application-3mE@tudelft.nl.
When applying for this position, please refer to vacancy number 3ME17-48.

Delft University of Technology

Delft University of Technology (the 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. The TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At the TU Delft you will work in an environment where technical sciences and society converge. The TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

http://www.tudelft.nl

Mechanical, Maritime and Materials Engineering

The Delft Centre for Systems and Control (DCSC) coordinates the education and research activities in systems and control at Delft University of Technology. The Centre's research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation and signal analysis. The research is motivated by advanced technology development in physical imaging systems, robotics and transportation systems. The group actively participates in the Dutch Institute of Systems and Control (DISC).
The vacant position is within the Networked Cyber-Physical Systems (NCPS) research group. This group aims at improving our understanding and control of cyber-physical systems composed of a large number of interconnected and embedded components. Such networks of systems may contain a large number of sensors and actuators that generate a tremendous amount of data to be processed in real-time in order to increase the autonomy of the participating entities, or accomplish a high level of automation. The scientific challenges currently pursued by the team are of multidisciplinary nature and spanning over several application domains such as: distributed and cooperative robotic networks, multi-vehicle systems, aeronautical, space, and automotive applications, thermal-, electricity-, and water-networks and smart energy systems.