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Thesis Internet of Things - Wireless Sensor
Networks
Organization: Robert Bosch GmbH | Nation: Germany | Location: Renningen | Functional Area: Research & Development |
Level: Thesis (Diplom/Bachelor/Master) | Date: 14.02.2017 | Reference no.: DE00510396
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial
technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. Welcome to
Bosch.
The Corporate Sector Research and Advance Engineering is in charge of designing, testing and exploring systems, components and technologies. Our
innovations consistently aim to achieve an improvement in the quality of life. Renningen, near Stuttgart, is the new hub of the Bosch Group’s global
research and advance engineering activities. Here around 1,600 employees from the center for research and advance engineering will develop new
materials, methods, and technologies, along with new systems, components, and production processes.
Your contribution to something big
What distinguishes you
Industry 4.0 is your exactly subject: You transfer innovations in the field
of communication technology for industrial wireless sensor networks
from research into practice. These techniques process sensor data such
efficient that only a minimum amount of data needs to be transmitted.
The exact field of your study will be harmonized together with you. It
originates from digital baseband signal processing, signal estimation, or
source and channel coding.
Obtain an overview of common practical approaches in the
chosen field of study
Design and implement a simulation environment for signal
processing algorithms in the selected field of study using
MATLAB or OMNeT++
Evaluate and optimize selected approaches of the selected
field of study
Implement selected approaches as proof-of-concept
prototypes in embedded systems
You major in electrical engineering, digital communications
engineering, applied computer science or a similar subject
You have comprehensive and extensive knowledge of digital
communications and digital signal processing algorithms
You are experienced in using MATLAB and C++ for digital
signal processing
Ideally you already gained experience in OMNeT++ or NS3 as
well as in signal estimation, compressive sensing or source
and channel coding
You exhibit pronounced analytic skills, and you work
distinctively well-structured, self-directed and
goal-oriented
Requirement for this thesis being enrolled in university. Please attach
your examination regulations and when indicated work permit and legal
alien resident.
For more information please contact Mr. Ludwig.
Tel.: +49(0)711/811-8809
Start: according to prior agreement
Length of this thesis: 6 months
Make it happen.
Reference no. DE00510396 - Apply online: www.start-a-remarkable-career.de