Education, Engineering, machine learning
Tijdelijk dienstverband
Master (EQF 7)
Reageer voor:
Uur p/wk:


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.


Functie eisen

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. 



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.


Informeren en solliciteren

For information about this vacancy, you can contact Dr. Asterios Katsifodimos, Assistant Professor, email: A.Katsifodimos@tudelft.nl. For information about the selection procedure, please contact Emiel Turlings, HR-Adviser, email: hr-eemcs@tudelft.nl. Click the 'more information'-button to apply.