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Ericsson Kumla (Örebro) | Master Thesis: Test-optimization using machine learning methods

Posted date: May 4, 2021

Location: Kumla, T, SE

Company: Ericsson


Why is Ericsson a good place to work?


Ericsson enables communications service providers to capture the full value of connectivity. The company’s portfolio spans Networks, Digital Services, Managed Services, and Emerging Business and is designed to help our customers go digital, increase efficiency, find new revenue streams, and create new user experiences. Ericsson’s investments in innovation have delivered the benefits of telephony and mobile broadband to billions of people around the world ensuring our solutions – and our customers – are at the forefront of innovation.   We support networks that connect more than 2.5 billion subscribers. With over 100,000 employees and customers in 180 countries, we combine global scale with technology and service leadership.  40 percent of the world’s mobile traffic is carried over an Ericsson network.  And, our Technology for Good and Connect to Learn programs include creating technology that makes it easier to save lives, feed societies, bring technology to emerging markets and connectivity to remote areas, and grow businesses and prosperity.


At Ericsson, we give our employees the freedom to think big and navigate their career, on a global scale.  We create technology that helps others, from helping people enjoy their favourite content to helping people recover from natural disasters by enabling better communications between rescue workers. Your ideas and innovations can turn into achievements that impact society and change the world, creating new connections, new possibilities, and new capabilities.  We find that Ericsson is at its best when we bring together the diverse skills of our people. Working across business areas, across cultures, across geographical borders, across technical disciplines. More often than not, across ground-breaking solutions. Next generation technology can be staggeringly complex. But the simpler it is to use; the more people benefit from it. Join us and help build technology that makes it simple to connect with information, business, societies, and each other.

Our Exciting Opportunity


Background


One of the last steps in the production of a radio base station is a series of adjustments and performance verification steps, known as production test. A typical adjustment is to bias amplifiers and a typical performance verification step is to ensure that the transmitter fulfills regulatory performance requirements. The production test is both time-consuming and expensive, partly because the instruments that are needed for carrying out the tests are very costly. One possible way of reducing time spent in production tests is to optimize the test flow by using machine learning methods as regression and prediction.


Thesis Description


The thesis focuses on analyzing the available production data of radio base stations and find correlations between the different steps in the test process. This is to be done using algorithms commonly found in the field of machine learning. Exactly which algorithms are to be tested is up to the student, but at least two different methods for supervised and/or semi-supervised learning should be tested. Of course, all steps of acquiring, cleaning, and pre-processing also must be carried out. Special effort will be needed in interpreting the results.


You will


•    Find and study suitable literature on optimization of hardware and software testing
•    Gain a basic understanding of the production test process
•    Obtain data from our databases (formulate suitable SQL-queries and/or gather BLOB:s)
•    Clean and otherwise pre-process data
•    Apply at least two different methods for supervised learning to see if the outcome of some test-steps can be predicted, and at what   confidence level using different validation methods in one product.
•    Investigate if the same algorithms can be used on a second product, or if modifications are needed
•    Analyze the results to find out how much time could potentially be saved in production test
•    Report to the Product Development Leader

 

If there is time and the student has an interest: briefly investigate possible methods and requirements for transfer learning between data on two, or more, different products.


To be successful in the role you must have


•    Background in machine learning (required)
•    Intermediate or advanced knowledge of MATLAB (or Python) (required)

•    SQL-queries (is an advantage but not a requirement)
•    Some knowledge of radio systems and electronics (is an advantage but not a requirement)


This project is suitable for Master students in electrical engineering, computer science, computer engineering, engineering physics or similar.
The thesis will be concluded with a presentation for the Ericsson production test development team and a written report.


Extent:
1 student, 30hp

Location: Örebro Kumla

Recruiter: Richard Tjong richard.tjong@ericsson.com

Preferably starting date: September 2021 or January 2022

Please upload a Cover letter, CV and grade transcripts with your application.

Application Deadline: May 23rd


What´s in it for you?


Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds – you will be redefining it. You won’t develop for the status quo, but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless.

Do you believe that an organization fostering an environment of cooperation and collaboration to execute with speed creates better business value? Do you value a culture of humanness, where fact based decisions are important and our people are encouraged to speak up? Do you believe that diverse, inclusive teams drive performance and innovation? At Ericsson, we do. 

We provide equal employment opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity and/or expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, indigenous status, disability, age, union membership or employee representation and any other characteristic protected by local law or Ericsson’s Code of Business Ethics.
 

Primary country and city: Sweden (SE) || || Kumla || [[mfield2]]

Req ID: 540715 


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