The goal of this PhD project is to bring Machine Learning/AI and real-time decision-making closer to where the data is produced, harnessing the power of locally trained models for privacy-aware sensing at the edge.
The motivation behind this line of research is the lack of an integrated platform to perform model training and inference on edge devices with low computaitonal, memory and power capabilities.
The PhD student hired in this position will perform research with focus in the intersection of distributed data management, machine learning, and crowd computing.

Master/Diploma in Computer Science, Electrical Engineering or a related field with experience in one or more of the following: distributed systems, data management or machine learning. 

Fixed-term contract: Temporary, 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.

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 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 societal relevance of its research programmes. Offering an international working environment, the faculty has more than 1100 employees (including about 500 PhD students) and more than 4000 bachelor’s and master’s students. Together they work on a broad range of technical innovations in the fields of electrical sustainable energy, microelectronics, intelligent systems, software technology, and applied mathematics.
The Software Technology (ST) Department is one of the leading Dutch departments in research and academic education in computer science, employing over 150 people. The ST Department 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 ST Web Information Systems group (WIS, wis.ewi.tudelft.nl) concentrates in its research on engineering and science of the Web. The research specifically considers the role of Web data in the engineering of Web-based information systems. The section is an internationally leading research group in Web-based systems, with WIS researchers and students striving to advance the state of the art in relevant disciplines like Web science, information retrieval, data science, Web engineering, Web data management, croudsourcing and analytics. WIS members are actively involved in Delft Data Science (DDS).