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

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:

Reference number: IMMS_STUD_SD_0126

Responsibilities

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

Qualifications

• Familiarisation and state of the art
• Framework conceptualization
• Development of system design framework
• Algorithm implementation and framework evaluation
• 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.

Benefits

• 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 on innovative and challenging topics

We value and promote equal opportunities and are committed to the goals of equality and diversity. Applications for the listed positions are welcome regardless of gender and/or any physical disabilities. 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.