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Master Thesis (m/f/d) Deep Reinforcement Learning Based Cognitive Mobile Ad Hoc Networks

Master Thesis (m/f/d) Deep Reinforcement Learning Based Cognitive Mobile Ad Hoc Networks

Rohde & Schwarz GmbH & Co. KG

Branche: IT & Telekommunikation

Anzeigen-Nr.: 202994

Beschäftigungsart:
Nach Vereinbarung
Dauer:
nach Vereinbarung
Beginn:
ab sofort
Vergütung:
nach Vereinbarung
Berufserfahrung:
wünschenswert
Einsatzort:
München
Kontakt­auf­nah­me:
Website

Jetzt bewerben

Stellenbeschreibung

  • Analysis of cognitive radio cycle
  • Research of use cases for cognitive radio usage
  • Examination of Deep Reinforcement Learning methods
  • Design of decision engine for cognitive radio based on Deep Reinforcement Learning
  • Implementation of cognitive engine
  • Test cognitive engine and evaluate the results

Anforderungen

  • Academic studies in electrical engineering or comparable field of studies 
  • Preferably major field of study in communications engineering
  • Excellent knowledge of wireless communication technologies  & signal processing
  • Good knowledge of Artificial Intelligence (Deep Reinforcement Learning) and Machine Learning  
  • Knowledge of programming with Matlab and ideally Python 
  • Strong analytical skills and a conscientious and efficient approach to work
  • Natural curiosity and pleasure in experimenting with new technologies 
  • Good knowledge of written and spoken English and German