ATLAS ELEKTRONIK GmbH | Germany | Bremen | Temporary contract | Full time | Published since: 03.04.2025 on stepstone.de
Mandatory Internship: Transfer of AI Metrics to Bayesian Networks for Autonomous Maritime Systems (m/w/d)
The ATLAS laboratory (A-LAB) for students and doctoral students deals with maritime technologies of the morning. In a team of young motivated employees, you get the chance to advance your research and development topic through support and in close coordination with our experts. ATLAS ELEKTRONIK is a company of thyssenkrupp AG and stands for maritime safety. For decades, as a leading system house for maritime electronics marines around the world, we have been helping to make the lake safer. We offer a wide range of services to our customers including Sonars and Sensors, Guide Systems for Unmanned Underwater Vehicles, Submarines and Overwater Ships, Mine Defense Systems and Radio and Communication Systems. JOBV1_EN
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The ATLAS laboratory (A-LAB) for students and doctoral students deals with maritime technologies of the morning. In a team of young motivated employees, you get the chance to advance your research and development topic through support and in close coordination with our experts. ATLAS ELEKTRONIK is a company of thyssenkrupp AG and stands for maritime safety. For decades, as a leading system house for maritime electronics marines around the world, we have been helping to make the lake safer. We offer a wide range of services to our customers including Sonars and Sensors, Guide Systems for Unmanned Underwater Vehicles, Submarines and Overwater Ships, Mine Defense Systems and Radio and Communication Systems.
Conducting a literature research on Uncertainty Quantification (aleatory and epistemic uncertainty, Evidential Deep Learning), Explainable AI (XAI) and Bayesian Networks. Analysis and mathematical formalisation of relevant key figures. Assessment of metrics with regard to their safety-critical significance for Unmanned Surface Vehicles (USVs). Development of mission-specific and safety-relevant assessment criteria. Conceptual modeling of the interface and transfer of AI media in Bayesian Networks.
Continuous technical studies, for example in mathematics, physics, computer science, machine learning, data science, or comparable. Experience with mathematical modelling and quantification of uncertainties, especially in the context of probabilistic models. Knowledge in machine learning or deep learning. Advantage: Knowledge of maritime systems and computer vision. Very good knowledge of German and English in word and writing. Self-employed and systematic work. Communication strength in handling project participants.
Through the A-LAB, ATLAS ELEKTRONIK offers doctoral students and students the opportunity to work in an agile environment with an interdisciplinary team on scientific topics with high application relevance. As part of your doctorate, you will get the opportunity to work together with students on your scientific topic. The doctoral program of the ATLAS ELEKTRONIK supports you both technically, professionally and with expertise in the doctoral procedure with a respective university to be determined.
We value diversity
We value diversity and therefore welcome all applications - regardless of gender, nationality, ethnic and social origin, religion/worldview, disability, age as well as sexual orientation and identity. JOBV1_EN
Company location
Location
![]() | ATLAS ELEKTRONIK GmbH | |
Bremen | ||
Germany |
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