About this opportunity:

With the rapid adoption of machine learning in telecommunication networks, the energy consumption associated with the training of cognitive algorithms and inference engines is of increased concern. Bio-inspired computing architectures such as Neuromorphic systems could process cognitive tasks in an energy-efficient manner, thereby yielding the networks sustainable. A variety of tasks such as deep learning inference, dynamic programming, quadratic unconstrained binary optimization etc... can exploit the neuromorphic hardware by reformulating the problem to the brain-inspired neural network architecture. To harness the potential of neuromorphic hardware in the telco networks, it is imperative to understand how brain-inspired neural networks can solve relevant computational problems in energy efficient manner.

This master thesis aims at developing brain-inspire neural networks (SNN, BCPNN, etc..) for telco use cases and demonstrating the potential energy efficiency gains.

What you will do:

The thesis work consists of several items:

· Understand Radio Access Network workloads that need to be energy efficient.

· Reformulate the RAN workloads into customized brain-inspired neural network architecture and validate the functionality using neuromorphic simulator.

· Devise technique to estimate the energy efficiency gains of the brain-inspired neural network for the RAN workloads.

· Documentation of the solution and evaluation.

The skills you bring:

· MSc Student in Physics/Computer Science/Mathematics/Embedded Systems or other related fields

· Proficient in Probability Theory, Deep Neural Networks, Spiking Neural Networks.

· Understanding of Neuromorphic Computing hardware and software stacks

· Good programing skills are required, knowledge of C++, Python, Linux.

Additional Details

The work is expected to start in Jan/Feb 2025. The work is proposed for 2 students for a duration of 6 months. Location is at Ericsson Research in Stockholm (Kista), Sweden.

Please submit your application in English as soon as possible - we are working continuously with candidate selection.

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: Sweden (SE) || Stockholm

Req ID: 756339