Wismar University of Applied Sciences is a high-performing, innovative, and internationally oriented university with a long-standing academic tradition. Through its strong support of interdisciplinary projects, our university provides an optimal foundation for innovative research and teaching. The Hanseatic city of Wismar is a UNESCO World Heritage Site, located directly on the Baltic Sea in a scenic region.

The Faculty of Engineering Sciences, Department of Electrical Engineering and Computer Science, is seeking to fill the following position as soon as possible in the third-party funded project “Sens2Net”.

Research Associate (m/f/d) specializing in sensor data analysis and machine learning for determining hydrogen content in the gas network

Scope

Full-time

fixed term

until March 31, 2028

Remuneration

E 13 (TV-L)

Beginn

01.04.2026

A full-time position is available, limited to a term ending March 31, 2028. Salary will be based on pay grade 13 TV-L, provided the relevant requirements are met.

The Automation Technology and Mechatronics department is working on the project "Sens2Net: Intelligent micro-H2 sensor module for decentralized in-line measurement of hydrogen or hydrogen-containing gas mixtures". The project aims to develop methods for analyzing sensor data and models for the precise determination of hydrogen content in gas mixtures within the gas network.

Your tasks:

• independent processing of the project “Sens2Net”
• Processing and exploratory analysis of the sensor data acquired by the sensor system
• Analysis and identification of influencing factors on hydrogen sensor values, especially for the detection of cross-sensitivities
• Development of physical and data-driven models for the precise determination of the hydrogen content in the gas network
• Combining physical and machine learning models into a hybrid modeling approach
• Implementation of the models on microcontrollers for the calculation and correction of hydrogen sensor values ​​in real time
• Validation and optimization of the models with regard to accuracy, robustness and real-time capability
• Creation and presentation of scientific publications
• Reporting and preparation of reports on the above activities

Your profile:

• Successfully completed university degree (Master's, Diploma or equivalent) in an engineering discipline
• Knowledge of data analysis, statistics and exploratory evaluation of sensor data, as well as model building and machine learning methods.
• Experience in programming, including embedded programming, as well as in sensor technology
• open and reproducible handling of scientific data and methods
• Willingness to learn about new topics
• Teamwork skills, independent work ethic, commitment
• very good German skills, both spoken and written

We offer you:

• Remuneration according to the TV-L (Collective Agreement for Public Service Employees in the German States), whereby the assignment to an experience level within the pay group takes into account your personal qualifications.
• diverse and challenging tasks as well as exciting projects
• family-friendly working conditions
• flexible working hours and partial mobile work
• a collegial and pleasant working atmosphere
• Further training and professional development opportunities
• 30 days of vacation; annual bonus
• Free parking available near campus
• Charging station for electric cars near campus

Interested? Then we look forward to receiving your online application!

We value diversity in the Mecklenburg-Vorpommern state administration and therefore welcome all applications – regardless of age, origin, gender, sexual identity, disability or worldview.

The university is certified as a family-friendly institution. Wismar University of Applied Sciences aims to increase the proportion of women in this area and explicitly encourages qualified women to apply.

For foreign educational qualifications, please submit corresponding documentation proving their equivalence to a German qualification (certificate evaluation). Further information can be found on the website of the Central Office for Foreign Education (ZAB).

The staff council can be consulted at the applicant's request. Please include an informal request with your application.

Applicants with a recognized severe disability or equivalent status according to § 2 para. 3 SGB IX will be given preferential consideration if equally qualified and capable. It is therefore advisable to explicitly mention the severe disability or equivalent status in the application and provide supporting documentation.

Applicants from the public sector are asked to declare their consent to the inspection of their personnel file.

Part-time employment is generally possible, with a minimum of 35 hours per week required.

We look forward to receiving your application (cover letter, CV, degree certificates, work references, and any other relevant qualifications) via the BITE application portal by April 26, 2026 at the latest. Only online applications will be considered in the further selection process. Applications submitted by email will unfortunately not be accepted.

Application documents that are incomplete may be disregarded in the further course of the selection process.

Application costs are not covered by Wismar University of Applied Sciences; this also applies to any job interviews.