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.

What you will do:

• 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.