About this opportunity:

As Ericsson's wireless products advance towards broadband and multi-band configurations, enhancing reception sensitivity and mitigating interference between distinct receiving channels have emerged as critical areas of focus. Concurrently, the integration of an increasing number of functions into ASICs presents heightened challenges in balancing functionality with power efficiency. PIMC serves as a quintessential example. While a robust PIMC can significantly enhance the reception capabilities of wireless devices, it concurrently poses increased energy consumption challenges, thereby complicating the thermal management of these products.

What you will do:

This thesis aims to develop a comprehensive power consumption model for PIMC by concentrating on a wide array of configurations and use cases, and to automate the data inference process linking power consumption with performance outcomes.

Expectations: 

We anticipate that students will contribute in the following areas:

1. Automate and explore the latest advancements in pertinent machine learning models for inference and other essential data science methodologies.
2. As part of this thesis, students will develop models trained on an extensive range of existing use cases. A primary contribution of this work is to evaluate the feasibility of creating a machine learning-based integrated platform. This research is also expected to predict potential use cases that result in maximum power consumption.
3. One of the anticipated outcomes of this thesis is the development of a power and performance model, which could be integrated into future ASIC products. The objective of establishing this model is to provide highly accurate data predictions, facilitating a balance between the required functionalities of the ASIC and its power consumption.

Future Scope: 

4. The power model should enable precise assessment of the power consumption of current designs across various configurations and use case scenarios. 
5. The power model should be equipped to predict and evaluate the requirements for the next generation of ASICs.

The skills you bring:

We are looking for someone studying Electrical Engineering, Telecommunication Engineering or similar. 

You need to be skilled in VLSI, Machine Learning and Python or other scripting language

Extent: 

2 students

​What happens once you apply?

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We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.

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

Job details: Developer

Primary Recruiter: Arvid Bergström