Opportunity Description
<![[<div><h1>Aufgaben:</h1>You support the analysis of related work on 5G localization, AI-based positioning, and advanced methods such as transformer or LLM-inspired approaches
Building on this, you review and evaluate suitable AI-supported localization methods regarding feasibility, robustness, and relevance for real-world scenarios
Subsequently, you investigate and implement learning-based approaches for 5G localization, for example in signal interpretation, environment-aware positioning, or adaptive model selection, using real or simulated data
Finally, you analyze and compare the impact of modern AI methods on localization accuracy, robustness, and generalization, summarizing your findings in the context of practical application<br><br><h1>Qualifikation:</h1>Education : You are currently enrolled in a Bachelor's program in Computer Science, Electrical Engineering, Communications Engineering, Robotics, or a related field
Expe...
Building on this, you review and evaluate suitable AI-supported localization methods regarding feasibility, robustness, and relevance for real-world scenarios
Subsequently, you investigate and implement learning-based approaches for 5G localization, for example in signal interpretation, environment-aware positioning, or adaptive model selection, using real or simulated data
Finally, you analyze and compare the impact of modern AI methods on localization accuracy, robustness, and generalization, summarizing your findings in the context of practical application<br><br><h1>Qualifikation:</h1>Education : You are currently enrolled in a Bachelor's program in Computer Science, Electrical Engineering, Communications Engineering, Robotics, or a related field
Expe...
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Submit your application for Thesis (Bachelor): AI-supported 5G Localization at Siemens AG
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