Master Thesis: ML-based circuit design

3 weeks ago


Gothenburg, Västra Götaland, Sweden Ericsson Full time

Description

Join our Team

About this opportunity

ML-based circuit design relies on high quality training data to perform well, and preferably as little data as possible to keep computational efforts low. The scope here is to investigate how "active learning" can be used to build better ML-models with less data.

Research questions:

How much can active learning reduce the computational efforts for dataset generation? What performance benefits are achieved compared to "static" approaches for data generation?

You will bring

This project aims at students in Electronics, Physics, Computer Science or Electrical Engineering, or similar ML/AI and ADS skills Good programming skills incl. Python Excellent networking, collaboration and communication skills with high energy and motivation

Although the application is circuit design, knowledge in this area is not a prerequisite.

Extent: 1-2 students, 30hp

Location: Gothenburg, Sweden

Start date : January 2025

Why join Ericsson?

At Ericsson, you ́ll have an outstanding opportunity. The chance to use your skills and creativity to push the boundaries of what ́s possible. To build never seen before solutions 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.


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