Application Traffic and Cellular technology Analyst (665313)
Ericsson AB / Supportteknikerjobb / Stockholm
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hela Sverige Our Exciting Opportunity
The BB Analytics section within DNEW NSV is a 5G RAN system design organization with responsibility, among other things, for driving the end user application performance know-how, with focus on the RAN contribution. It is also the accountable line for the Smartphone Lab Program.
We are looking for persons with proven domain knowledge in radio access systems and
traffic characteristics, that is passionate about analyzing data and get the facts. Understanding the traffic characteristics performance, and how the end user application traffic impact RAN features and vice versa is the core challenge of this position. We also drive forums to share and collaborate within Ericsson around traffic understanding. Traffic characteristics is valid independently of RAN technology but could be expected to be further emphasized with new application types or deployment cases that come into play with 5G. The analysis is done on multiple data sources from network data, licensed data and data from our own lab.
We believe that you have a background working with System Design or Research for RAN Product Development, or similar. You will work within the Smartphone Lab program which support Ericsson business by providing insight in end user experience and network performance, that support radio network development and customer engagement, including product development decisions. We gain these insights by analyzing data from the world's most heavily loaded networks, through own lab tests and via licensed data from other sources. We seek facts using data driven insights!
Your Responsibilities & Tasks
You will be working in an interdisciplinary team that focuses on understanding all aspects of e2e user experience and traffic characteristics based on facts and data. Depending on your profile you will contribute to the team in the field of radio resource management and user plane or network data analysis including characteristics. You will analyze cellular radio networks, both on a macro level and the details on how different characteristics of it interact with the user application data flow. Every task is new and require development of data processing and innovation of ways to visualize and present data and findings. For the tasks we use network data, third party licensed data or by defining own experiments in the lab to get detailed data on specific use cases.
You will support R&D, development units, customers and Customer Units with your application traffic and characteristics expertise and insights.
To achieve that you will collaborate with different organizations with expertise in different functional areas. With your e2e perspective, it will be necessary that you interact with different Business Units and organizations across Ericsson as well as with other industry players outside Ericsson.
Position Qualifications
You should:
Have a MSc or PhD
Proven technical leadership and drive
Proven collaborative capability
Have at least 5 years of experience from RAN Product Development of Mobile System or Terminal products. In particular, Radio Resource Management (RRM) algorithm development of Radio Access Network products (3G-5G) or similar is emphasized.
Have a good understanding of mobile system e2e, with focus on RAN L2-L3 as well as NAS protocols and mechanisms, and with particular depth in Radio Resource Management (RRM) mechanisms and algorithms.
Have proven programming skills, e.g. Python, data analysis and visualization.
In addition, we value if you have worked with any of the following:
Have proven domain knowledge in the RAN userplane area including flow / congestion control, IP transport and application protocols, i.e. HTTP/IP/TCP/QUIC/BBI
Network traffic characteristics and statistical analysis
Have proven domain knowledge in end user application and device behavior, such as Android and iOS and corresponding Apps and service as well as Data Engineering
Data Analysis methods, including techniques based on Machine Learning
Information visualization
Agile way of working methods
Recruiter: Sarah Lashari,
sarah.lashari@ericsson.comLast date of application 26th April 2022
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture 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 and Affirmative Action employer, learn more.
Primary country and city: Sweden (SE) || Sweden : Stockholm : Stockholm
Req ID: 665313
Publiceringsdatum2022-04-07Så ansöker duSista dag att ansöka är 2022-04-17
Klicka på denna länk för att göra din ansökanAdressEricsson AB
Kistagången 6
16440 Kista
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Ericsson AB (org.nr 556056-6258)
Kistagången 6 (
visa karta)
164 40 KISTA
Jobbnummer 6517277
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