Master Thesis: Distributed scalable simulator

Join our Team 
 About this opportunity: We are seeking a talented Master's student to prototype and evaluate a massively distributed wireless system simulator. Current system simulations tend to contain the entire simulated system in a single machine which limits scalability. We would like to understand benefits and drawbacks of developing and running a massively parallel system simulator.

Develop a distributed wireless communications simulator prototype  Design and prototype a system for launching, monitoring and terminating the simulator components in a Kubernetes cluster  Evaluate key performance aspects of the simulator and the scalability aspects as a function of the simulated system size  Provide understanding of the trade-offs between running on a single machine and in a massive cluster  Document findings and prepare thesis with recommendations for further production  Collaborate with engineering team to ensure technical feasibility  The skills you bring: Required Skills and Qualifications  Enrolled in or recently admitted to a Master's program in Computer Science, Electrical engineering or related field  Programming skills in Python  Solid technical writing and communication abilities  Problem-solving mindset with attention to detail  Preferred Qualifications  Experience with containerization platforms and related tools, e.g. Docker and Kubernetes  Wireless communication courses or experience  Simulation engineering skills or similar  Experience developing microservices for REST APIs  What We Offer  Mentorship from experienced engineers and a chance to work with large scale distributed systems.