Student (m/f/d): Design Of Wireless Multi-Node System for Condition Monitoring

During your studies, you can contribute to our ongoing research projects. Join us in pushing the limits of what is technically feasible and be part of breaking new ground together. We offer a variety of challenging and practice-oriented topics for mandatory internships, Bachelor’s or Master’s theses or for student research assistants. You will analyse important scientific preliminary questions and support the project teams with development activities.

Place of work: Ilmenau

Team: System Design

Career level:Thesis

Research field: Smart distributed measurement and test systems

Time scope: 6 months

Start: As soon as possible

Application deadline: 2026-06-30

Reference number: IMMS_STUD_SD_0126

Condition Monitoring (CM) or Predictive Maintenance (PM) focuses on maximizing machine availability and reliability by anticipating failures before they occur. This enables timely and cost-effective maintenance planning.

Wireless sensor nodes are becoming increasingly popular for CM because of their flexibility in terms of positioning and re-positioning at desired locations as well as retro fitting. But, the limited energy posed by the wireless sensor nodes are a major downside especially in applications which involve high-data rate signals like vibration signals. The system design challenges are scaled for multi-node case.

On-Device learning of healthy and unhealthy states of machine using signal processing techniques is a smart way to minimize the amount of payload communicated between the sensor node and the central. But scalability of such algorithm for multi-node case is not simple.

Repositioning and change in the orientation of sensor node can effect the signal statistics and the training process may have to be repeated. Hence, the system design parameter space is very wide and has to be investigated and a solution should be proposed at the end for multi-node on-device training in the condition monitoring systems.

WHAT TO DO:

Programming in C/C++ and Python
Fundamentals of signal processing
Experience with machine learning methods

WHAT TO BRING WITH YOU:

A system consisting of a rotating machinery, a wireless sensor node, and a base station has already been implemented.

Familiarisation and State Of The Art
Framework Conceptualization
Development of System Design Framework
Algorithm Implementation and Framework Evaluation
In detail:
Extending its functionality by integrating a machine learning algorithm into the wireless sensor nodes to enable local data processing,
Expanding the system to support multiple sensor nodes operating simultaneously
Enhancing the base station interface and overall system architecture to manage the new features, including multi-node communication, data aggregation, and configuration of the machine learning module.

WHAT CAN WE OFFER YOU:

An attractive workplace in a modern, very well-equipped and industry-oriented research institute
Work directly at the interface between university and industry
Work in a flexible and creative team and on innovative and challenging topics

AND THIS IS US:

We strengthen enterprises with application-oriented research and development in microelectronics, systems engineering and mechatronics and transfer the results of basic research into applications and products. We support companies in launching internationally successful innovations for health, the environment and industry and provide solutions from the feasibility study to series production.

WE ARE LOOKING FORWARD TO MEETING YOU!

We thank you for your interest in working with us.

Please only apply once – for your favourite topic or for the one that comes closest to your interests. This is the quickest way for us to process your application and get back to you. If you are interested in more than one topic, please include this in your cover letter. In case our current suggestions are not suitable, please send us your with a topic you would like to work on.

We respect and promote equal opportunities and are committed to the goals of equality and diversity.

Applications for the advertised roles are welcome regardless of gender and/or any physical disabilities, subject to the existing terms and conditions of employment.

The IMMS ensures gender equality in the workplace and strives to increase the proportion of the under-represented gender. Women are under-represented in this field. Applications from women are therefore expressly encouraged.

People with severe disabilities will be given preference if they have the same qualifications, skills, and professional performance.

Address:

IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH)
Ehrenbergstraße 27
98693 Ilmenau
Germany

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