PhD Position in Distributed Signal Processing for Resilient IoT/CPS

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PhD Position in Distributed Signal Processing for Resilient IoT/CPS

NTNU - Norwegian University of Science and Technology
Country of Position: 
Contact Name: 
Stefan Werner
Subject Area: 
Signal Processing Theory and Methods
Signal Processing Communications and Networking
Machine Learning for Signal Processing
Digital Signal Processing
Internet of Things Special Interest Group
Information Forensics and Security
Start Date: 
September 04, 2019
Expiration Date: 
October 20, 2019
Position Description: 

About the position:

We have a vacancy for a PhD Research Fellow position at the Department of Electronic Systems (IES). The PhD position is for up to 4 years with 25% work assignments for NTNU IES.

Job description:

In the emerging paradigms of CPS and IoT, large quantities of data are constantly collected by multiple sensors to enable accurate inference and smart decision making. The collected data may reveal more information than required because the sensors observe multiple correlated processes. In addition, stringent limitations on IoT sensors often preclude cryptography-based data security, which makes the system vulnerable various types of physical-layer attacks, e.g., data falsification and replay attacks. Examples include unauthorized drone tracking and steering, and data falsification in autonomous transport systems. In summary, to realize the full potential promised by IoT, developed solutions need to incorporate more realistic environments and time-critical constraints to ensure privacy-preserving and attack-resilient network operation.

The aim of this project is to design and analyze advanced distributed signal processing and optimization approaches to overcome security and privacy challenges faced by future CPS/IoT, where traditional methods fail to prevent attacks and loss of privacy. The PhD candidate will be affiliated with NTNU IoT lab, and have the opportunity to visit and collaborate with research scientists from SINTEF, University of Notre Dame, USA and Syracuse University, USA.

Qualification requirements:

We seek a highly-motivated individual who has

  • strong background in mathematics, communications, and statistical signal processing
  • research-oriented master thesis in a related field, e.g., statistical signal processing, information theory, statistical machine learning, multi-agent networked systems, applied mathematics, or optimization
  • experience with programming
  • good written and oral English language skills

Salary and conditions:

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 479 600 per annum before tax. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

For more information and application submission, please follow the link:

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