Job Description
We are currently offering an opportunity for a Master's thesis project, focusing on control over communication networks. Due to network congestion, a networked control system may experience time-varying delays which impact the system's performance and stability. Stochastic control in combination with a delay model can be used to take into account these effects. Network effects will be simulated using an emulator, and the controlled system will be an inverted pendulum, either as a simulation or a real demonstrator. The candidate has the option to design and benchmark different stochastic control methods such as classic feedback or predictive control.
1. You will identify a delay model of a congested communication network using realistic data from an emulator.
2. In addition, you will design of a controller for an inverted pendulum controlled over the network.
3. Finally, you will evaluate a simulated pendulum or a pendulum demonstrator.
Qualifications
4. Education: studies in the field of Cybernetics, Engineering, Mathematics, Computer Science
5. or comparable
6. Experience and Knowledge: in Python and in Matlab/Simulink, profound knowledge of control theory, ideally some basic knowledge of probability theory
7. Personality and Working Practice: you are an autonomous person who has a systematic way of working and an analytical way of thinking
8. Languages: very good in English, German is a plus
Additional Information
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Melanie Gallant (Functional Department)
+49 173 1962438
Kevin Schmidt (Functional Department)
+49 152 24375565
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