- Entry level
- No Education
- Salary to negotiate
Machine learning has received a lot of attention lately, because deep learning techniques allowed the train machines to beat human competitors in games (e.g., jeopardy, chess, go) and to perform visual inspection tasks on a par and even better than humans. However, in the domain of networking, machine learning did not find a lot of application yet. Nevertheless, as discussed in the IETF IDN group, network management and control could benefit from accurate predictions to base decisions on. As a network equipment provider, we are looking for opportunities in which machine learning can improve the performance of various of our products.
The student will
-- survey the literature of where in networking machine learning can be beneficial
-- select a networking task, e.g., traffic prediction or any other, where machine learning could considerably improve the performance of traffic management and control
-- implement an algorithm to assess the performance improvement of machine learning on the considered task.
-- Evaluate simulation results
-- Submit a final report and give a presentation to the research team
-- Enrolled student in Master in Computer Science or similar
-- Programming experience with C/C++ and python
-- General knowledge about optimization
-- Any knowledge or experience with GPU-based computer systems is an advantage
-- Language skills: English or Dutch
About the company
As the world’s specialist in mobile broadband, we’ll help you enable your end users to do more than ever before with the world’s most efficient mobile networks, the intelligence to maximize their value and the services to make it all work together.