Concepts Researcher: AI in 6G RAN
Ericsson AB söker Concepts Researcher: AI in 6G RAN i Stockholm. Heltid · Tills vidare. Läs fullständiga krav och ansökningsanvisningar i originalannonsen.
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Jobbet i korthet
- Arbetsgivare
- Ericsson AB
- Ort
- Stockholm
- Arbetsplatsadress
- 16440 StockholmUngefärlig placering · gatuadress saknas
- Anställningsform
- Vanlig anställning
- Yrkesområde
- Forskare, IT
- Omfattning
- Heltid
- Anställning
- Tills vidare
- Löneform
- Fast månads- vecko- eller timlön
- Sista ansökningsdag
- 2026-11-10
Om jobbet
Arbetsgivarens annonstext via Arbetsförmedlingen.
Company description: Ericsson AB Job description: Join our Team About this opportunity: RAN system management at BNEW is responsible for setting the north star for the RAN evolution through early exploration. We explore future scenarios, develop and evaluate promising solutions, and translate findings into recommendations for new products. We collaborate with RAN experts and other teams across Ericsson, sharing expertise and helping move new ideas toward impact. Your work will shape how AI and Machine Learning can contribute to new RAN solutions and improve 6G RAN.
What you will do:
- Ensure RAN leadership and profitable business for Ericsson by driving and contributing to the evolution of AI in RAN.• Initiate and conduct studies on AI in RAN, including Radio Resource Management.• Develop and evaluate innovative solutions for new opportunities and scenarios, using simulations and hands-on implementation to assess the results.• Translate findings into recommendations for new architecture and products.• Identify promising ideas and contribute to the development of intellectual property, including patents.• Communicate results to stakeholders, contribute with expertise, and collaborate with different Ericsson units and external partners.
The skills you bring:
- PhD or MSc in Electrical Engineering, Machine Learning, Data Science, or equivalent.• Strong technical leadership skills, analytical with ability to develop strategies, understand complex technical challenges, and drive innovative solutions.• Excellent depth in AI with techniques and algorithms e.g. Reinforcement Learning (RL), exploration and learning strategies.• Genuine interest in wireless communication e.g. Radio Resource Management, network modelling and performance evaluations.• Software engineering knowledge and hands-on programming experience, including Python.• Knowledge of mobile networks and the telecommunications industry.• Experience in research, simulation tools, or development of AI or RAN solutions is an advantage.• Ability to collaborate, engage and mobilize colleagues and partners to achieve results.• Strong presentation and communication skills, with proficiency in English.
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Senast kontrollerad 2026-11-02.