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.