Department of Systems Engineering
Faculty NT - Natural Sciences and Technology
Job offer in the frame of EU project
SensorTech4Health2030
(subject to final approval of the project, expected to start April 1st, 2026)
The Lab for Measurement Technology (LMT), chaired by Prof. Schütze, is a world leading research group in smart sensor systems bringing together expertise in microsensor operation, read-out, and calibration with extensive know-how in machine learning (ML). The Chair consists of two research groups, one focusing on gas sensing technologies and one on multimodal smart sensing.
The research group Gas Sensing Technology is focusing on the development of innovative multimodal system solutions, calibration and calibration strategies, evaluation algorithms based on machine learning and the associated Design of Experiment. These low-cost sensor systems are used for monitoring volatile organic compounds (VOC) and other volatiles at trace levels for various applications including indoor air quality (IAQ), breath analysis and drug monitoring, food quality as well as odor assessment of recycling products. We have strong competence in system characterization and calibration as well as calibration transfer.
In the division of Multimodal Smart Sensing, we focus on the development of automatic machine learning methods in order to extract the desired, physically interpretable information from complex sensor patterns from a wide variety of sensor modalities. The main fields of application are quality control, environmental and safety technology, renewable energies / energy efficiency and condition monitoring of mechatronic systems.
Currently, twelve PhD students, one post-doc and one lab engineer are working for the Chair.
The offered position is affiliated with the research group Gas Sensing Technology (Dr. Christian Bur) but with strong collaboration to the Multimodal Smart Sensing group.
Job requirements and responsibilities:
We are offering a PhD position in smart gas sensing technologies for digital health. The position is linked to the three-year international project SensorTech4Health, coordinated by Bosch Sensortec.
The ideal candidate is an excellent, self-driven, and curious problem-solver. A master’s degree in engineering (preferably systems, electrical or bio-medical engineering), or physics, or related disciplines, and a solid foundation in sensors, systems, and data evaluation is required.
Experiences with chemical gas sensors, calibration, and machine learning are recommended.
See the full official job offer here.
We look forward to receiving your meaningful online application (in a PDF file) by 10.04.2026 to
If you have any questions, please contact us for assistance. Your contact:
Dr. Christian Bur
Lab for Measurement Technology
Mail:
Tel.: +49 681/302-2256