Scheduling and resource management policies play a fundamental role in the performance and quality-of-service of a system since they determine the time at which a task (or a process) starts, accesses the resources, and completes. Cyber-physical systems (CPS), cloud computing, smart manufacturing, and product-line planning are some of the application areas of resource management policies with an increasing need to apply multi-objective, adaptive, and even smart scheduling algorithms in order to provide guaranteed service and more efficient use of resources.  

The aim of this Ph.D. project is to develope analysis techniques and tools to provide a quantitavie understanding about the system’s behavior under the use of such scheduling algorithms. This will be done by developing fast, accurate, and smart solutions to search the space of possible system outputs under the given scheduling (or decision-making) algorithm.

We expect the applicant to

• have a master’s degree in Embedded Systems, Computer Science, Algorithmic, Artificial Intelligence, or a relevant area

• have a good understanding of real-time systems (or being a fast learner)

• have good implementation skills in C/C++

• be self-motivated, ambitious, creative, critical thinker, hard worker, and enthusiastic about doing research and having publications in top-ranked conferences

• take initiation in the research and be responsible

• have excellent skills in oral and written presentation in English (no language certificate is needed).

Having expertise in any of the following areas will be considered as an advantage: 

• machine-learning algorithms

• formal methods and formal verification

• parallel processing and/or parallel programming 

Fixed-term contract: 4 years.

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. 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 www.tudelft.nl/phd for more information.

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics.

The Department Software Technology (ST) is one of the leading Dutch departments in research and academic education in computer science, employing over 150 people. The department ST is responsible for a large part of the curriculum of the bachelor’s and master’s programmes in Computer Science as well as the master’s programme Embedded Systems. The inspiration for its research topics is largely derived from technical ICT problems in industry and society related to large-scale distributed processing, embedded systems, programming productivity, and web-based information analysis.

The Embedded and Networked Systems group is a section in the Software Technology Department. The group’s research concerns the software side of embedded systems, which are characterized by their limited visibility, autonomous operation, real-time activities and constrained resources. The group focuses on designing, understanding, and quantifying the fundamental properties of real-world cyber-physical and IoT applications. We perform research on many breakthrough technologies including autonomous cyber-physical systems, real-time systems, robotics, energy-autonomous communications, and visual light communication to name a few.

https://www.tudelft.nl/en/eemcs/the-faculty/