Research Assistant/Master Thesis Student (Multi-modal sensing in IoT devices)
Electrification Suite & Test Lab
7 April 2021
Open until filled
Fixed Term (6 months)
Project Title: Multi-modal sensing in IoT devices
About TUMCREATE TUMCREATE is a research platform for the improvement of Singapore's public transportation, including the deployment of electric and autonomous mobility. Researchers from Technical University Munich and Nanyang Technological University join forces and are funded by Singapore’s National Research Foundation as part of the Campus for Research Excellence and Technological Enterprise (CREATE).
In TUMCREATE, over 100 scientists, researchers and engineers work together, led by Professors from the Technical University of Munich and Nanyang Technological University. The Mission of TUMCREATE is to seek the ultimate public transport system for the people of Singapore. Our innovative road transport solutions will provide high comfort and a positive travel experience, best protection of the environment and maximum benefit to the society and the economy.
More information about TUMCREATE can be found on our web pages at www.tum-create.edu.sg.
About this Position The research group Electrification Suite & Test Lab (ESTL) in TUMCREATE puts an emphasis on the interaction of the electricity grid with advanced electrified public transport systems for Singapore. Ranging from charging infrastructure optimisation to demand side management and integration of renewable energies, ESTL covers many hierarchy levels of the electrification concept in the context of the major goals of TUMCREATE.
A research project has been established to demonstrate different modalities of IoT (Internet of Things)/CPS (Cyber-Physical Systems) devices. With the available data from devices of a distributed network, existing consensus mechanisms cannot be directly applied due to the resource constrained nature of IoT. In this project, we explore the potential of a new consensus mechanism among the IoT devices to validate the sensor data measurements.
The goal of this master thesis is to develop an algorithm to achieve consensus in a distributed IoT network. The main tasks are:
Design and demonstrate communication between devices with RF and non-RF means.
Develop algorithms to arrive at a consensus among the devices.
Implement the algorithm in a hardware testbed to demonstrate the working of the algorithm.
Minimum Bachelor’s degree in Computer Engineering with preferred 1-2 years intern experience.
Good knowledge of Algorithms and Embedded programming.
Very good C programming skills.
Reliable, independent and scientific work style.
Excellent interpersonal skills and communication skills in both written and spoken English and ability to work with people from different backgrounds and cultures.
What we offer
Exposure to the state of the art research topics
An international and multidisciplinary working environment
Guidance by researchers from world-renowned universities
Opportunity for publishing in international journals and conferences
Multicultural and dynamic working atmosphere
Enquiries and How To Apply Please send your complete application including cover letter, CV, university transcripts and degree certificates to firstname.lastname@example.org