Grow with us
About this opportunity
Ericsson Research develops new communication solutions and standards. The organization has a responsibility to provide Ericsson with world-class system concepts, technology innovations, and methodology. Exciting and challenging opportunities are constantly crafted for our organization, which are motivated by the ongoing transformation into a society where everything that benefits from being connected will be connected. Furthermore, rapidly growing demands for mobile broadband access, in combination with the need for new technology and solutions for scenarios, build an increased demand for innovative solutions. Building on our experience from real network operations, profound knowledge about existing standards and forward-looking research, we innovate towards advanced ideas that craft today’s and tomorrow’s mobile radio communication.
Within Ericsson Research, Research Area Artificial Intelligence (AI) is responsible for pushing the AI frontiers within telecom, combining machine learning, reasoning methods, generative AI, and trustworthy AI tools, and techniques to drive competitive performing products and intelligent autonomous operations in large complex telecom systems.
Position Summary:
The main objective of this PhD research position is to create novel methods for LLM trustworthiness to improve its trustworthiness, especially, how to leverage the transparency to improve its reliability, and how to systematically create explanation regarding the applied telecom use case. The research will be performed on the topic of trustworthiness of Large Language Models (LLMs), making progress towards providing a reliable system that generates correct outcomes and can explain how the agent arrived at a certain decision; why an action is taken by the AI system.
The research will focus on reliability, correctness and transparency of LLMs using explainable AI (XAI) algorithms, investigating how XAI for LLMs could be applied in digital intelligent networks and how to systematically create explanations regarding LLM solutions in future networks. The aim is to incorporate trust aspects specially to meet the requirements of reliable and correct outcome and improving transparency at different levels of LLMs. With its strong focus and engagement in telecom networks, this project has the potential to make important and strategic scientific and industrial impact.
Join our Team
What you will do
• Join our Trustworthy AI team working as an industrial PhD student. The job consists of 80% of PhD studies and 20% duties at Ericsson as a researcher.
• Contribute to the Trustworthy AI Research technologies/results from Research Area AI.
• Perform research on the topic of trustworthiness of Large Language Models (LLMs)
• Do research in an international team of world-class researchers with different backgrounds and experiences to develop solutions and concepts for 5G+ and 6G network evolution with focus on AI.
• Contribute to novel research results on the topic of trustworthiness of Large Language Models (LLMs) which can lead to rapid and iterative development of high-quality AI applications. This includes working with solutions for 5G+ and 6G networks, IoT and data and machine learning systems.
• Identify and propose/drive research activities in Trustworthy AI research based on the gaps.
• Engage with external ecosystem (academia, technology leaders, open source, etc.) to develop skills and enhance technology portfolio.
• Stay updated with the latest trends in research and technology, contributing with scientific publications, patents, and technology innovation.
• Help to push thought leadership by develop new and apply/ extend existing, concepts, methodologies, techniques for cross functional initiatives.
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 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.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like. For questions or thoughts please contact Anu Hirvikallio Recruiter at [email protected]
Admission Requirement
As the position is intended to be part of an industrial PhD program, in collaboration with academia, we require the applicant to have an approved external funding from SSF for admission.