Research Associate

Project overview

Research Associate (m/f/d) (Pay group 13 Collective Agreement for the Public Service (TVoD); 39 hours per week)

At Helmut Schmidt University/University of the Federal Armed Forces Hamburg (HSU/UniBw H), Faculty of Electrical Engineering, Professorship for Electrical Measurement Engineering (Prof. Dr.-Ing. Scholl), the position of a

Research Associate/

Research Associate (m/f/d) (Pay group 13 Collective Agreement for the Public Service (TVoD);

39 hours per week)

is to be filled as soon as possible, for a fixed term of 3 years.

The Professorship for Electrical Measurement Engineering researches and develops wirelessly integrated sensor and communication systems for industrial applications and flying platforms. For this purpose, one of the most modern 5G standalone campus networks has been established on the HSU/UniBw H campus.

Together with our industrial cooperation partners and the responsible authorities, new approaches are being investigated on the basis of this network, in which the mobile network itself is used as a sensor and information source ("Network-as-a-Sensor/Actuator"). The focus is on the analysis and classification of communication and data streams, the recognition of characteristic behavioral patterns of applications and end devices, and the detection of anomalies in 5G networks. A special area of application is the detection and characterization of unmanned aerial systems (UAS).

Area of Responsibility:

• Conception and setup of typical industrial, IoT, and UAS application scenarios, as well as integration, configuration, and experimental investigation of various end devices, e.g., smartphones, mobile modems, embedded systems, sensors, actuators, and UAS components
• Implementation and analysis of industrial and IoT-based communication protocols, e.g., OPC UA and MQTT, as well as investigation of the communication behavior of different end device types in the 5G mobile network
• Analysis and characterization of communication and data streams in 5G mobile networks, as well as development of methods for application, end device, and UAS classification
• Development and implementation of methods for feature extraction, pattern, and anomaly detection using statistical methods as well as AI and machine learning methods
• Planning, execution, and scientific evaluation of reproducible measurements, as well as further development of the software, hardware, analysis, and test automation environment
• Opportunity for further scientific qualification (e.g., doctorate or post-doctoral qualification)
• Participation in teaching amounting to fundamentally 3.0 trimester hours per week
• Handling of general administrative tasks and academic activities in academic self-governance

Requirements

Additionally Desired:

What Counts for You:

For technical questions, please contact Prof. Dr.-Ing. Scholl at Tel.: or via email: .

The employment relationship is governed by the provisions of the Collective Agreement for the Public Service (TVoD) in conjunction with the Act on Fixed-Term Scientific Employment Contracts (WissZeitVG). The activities fundamentally correspond to pay group 13. Classification up to pay group 13 TVoD is made taking into account Section 12 TVoD with regard to the duties to be performed not only temporarily and the fulfillment of personal and collective requirements (activity characteristics).

Part-time employment is possible.

The Bundeswehr promotes equal career opportunities for women and men and therefore particularly welcomes applications from women.

In accordance with the Social Code Book IX and the Disability Equality Act, we expressly welcome applications from severely disabled people; fulfillment of the advertised requirements will be assessed on an individual basis. The Bundeswehr supports the goals of the National Integration Plan and welcomes applications from people with a migration background.

More information about the university and the professorship can be found at:

and

Please send your application with the usual documents exclusively in electronic form (PDF file), stating the reference number ET-1726, by November 12, 2026 to:

.

Note:

Information on data protection in the application process can be found on the website under the section "University - Career - Data Protection Information".

Without the reference number, your application cannot be considered and will be deleted immediately for data protection reasons.

• A university degree (Diplom univ. or Master's) in Electrical and Information Engineering, Computer Science or Computer Engineering, Artificial Intelligence, Data Science/Data Engineering, or General Engineering Sciences, completed with very good results
• You have good foreign language skills in English and are willing to expand them through further training
• Good knowledge or initial practical experience in at least one of the fields of information and communication technology, mobile networks, network and traffic analysis, computer science, cyber security, or machine learning
• Programming skills, preferably in Python and/or C/C++
• Knowledge in the area of IP-based communication protocols, IoT, or industrial communication systems is an advantage
• Knowledge in the area of unmanned aerial systems or autonomous systems is an advantage
• Good analytical skills as well as a structured and independent way of working
• Good communication and teamwork skills
• Strong interest in scientific work as well as the ability to teach
• Capital-forming benefits
• Annual special payment
• Company pension scheme
• Flexible working hours
• DeutschlandJobTicket with employer subsidy, if the necessary requirements are met
• Possibility of using a childcare place in a daycare center near the campus, if the necessary requirements are met
• You benefit from targeted personnel development and a comprehensive range of further and vocational training.
• Affordable catering in the campus canteen with three meals a day
• Opportunity to participate in the Corporate Benefits program
• You have the opportunity to participate in company health promotion offers (more information can be found at: ).
• Free parking on campus
• Possibility to use the Bundeswehr's own car sharing service (more information can be found at: )

Project details

• Start: flexible
• Location: Jenfeld, Hamburg, Germany, DE
• Languages: German