Master Thesis: Using multi-label classification in machine learning use cases

Job Description

Date: Oct 10, 2019

Background

Mobile networks are used all over the world and are the corner stone for the networked society, where everything shall be connected. To support the vast amount and diversity of data expected in future networks, Ericsson are developing products to drive and support the networked society. The subjects for Master Thesis are defined to investigate and develop algorithms, architecture, tools etc. to support huge increase of speech, data and massive IoT for Radio Access Networks.

 

Thesis Description

Machine learning assisted mobile networks are becoming a reality. Ongoing research intends to answer questions of how and what kind of machine intelligence can be incorporated into different network use cases. One such question is finding a suitable classification method for solving a certain machine learning use case.

 

The thesis work is proposed to cover:

 

  • Investigate and evaluate the possibility to use multi-label classification.
  • Realize multi-label classification using LightGBM

 

The thesis will be concluded with a result presentation for the Ericsson team.
 

 

Qualifications

This project aims at students in electrical engineering, computer science, computer engineering or similar.

Extent

1-2 students, 30hp each

Location

Ericsson AB Mjärdevi, Linköping

Preferred Starting Date

Spring 2020

 

For any questions or enquiries, please contact recruiter Sarah Lashari, sarah.lashari@ericsson.com

Last day of application is 10th of November 2019.  

 

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Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development.

Ericsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetic information.

 

Primary country and city: Sweden (SE) || || Linköping || R&D

Req ID: 302939