<div><div><div><h2>Join our Team</h2></div><div>About this opportunity: Are you a masters student excited to apply Green AI methods to real-world wireless communication problems? At Ericsson Research we combine the scale and impact of a global company with an innovative, research-driven culture. This thesis opportunity invites you to help “miniaturize” wireless world models by applying efficient-machine-learning techniques so propagation models run faster, cheaper, and with lower energy use — while still delivering strong performance.  What you will do: • Survey the state of the art in Green AI approaches (for example pruning, quantization, knowledge distillation) and select promising techniques for reducing model size and compute. • Create, train, and evaluate compact wireless world models that reproduce or improve on prior results. • Implement and benchmark chosen algorithms and models to reproduce original findings and compare trade-offs. • Measure performance across multiple datasets and report on accuracy, cost-effectiveness, and energy efficiency. • Conclude the work with a written thesis and present your results at Ericsson Research.  The skills you bring: • MSc studies in Computer Science, AI, Data Science, Electrical and Computer Engineering, or a closely related field. • Strong programming skills — Python is preferred; experience in Java or C/C++ is also relevant. • Practical experience with deep learning frameworks such as PyTorch or TensorFlow. • Prior coursework or hands-on knowledge in AI, deep learning, foundation models, or transfer learning. • Familiarity with model-compression techniques (pruning, quantization, distillation) is a plus. • Experience with version control (git) is desirable. • Good communication skills in English.  • A passion for AI research and building end-to-end prototype systems.</div></div></div>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?<a href="http://www.ericsson.com/en/careers/hiring-process">Click Here</a> 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, thats 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. <a href="http://www.ericsson.com/en/careers">learn more.</a>Primary country and city: Sweden (SE) || StockholmReq ID: 772165