Master thesis project: MACHINE LEARNING for enabling smart industries with 5G

Job description

Ericsson Overview

Ericsson is a world-leading provider of telecommunications equipment and services to mobile and fixed network operators. Our focus in business strategy is to revitalize technology and market leadership using innovation to empower people, Industries and Society. Ericsson drives the development of market-leading solutions, fully leveraging the potential of 5G, IoT and cloud.

We are truly a global company, operating across borders in over 180 countries, offering a diverse, performance-driven culture and an innovative and engaging environment. As an Ericsson employee, you will have freedom to think big and the support to turn ideas into achievements. Continuous learning and growth opportunities allow you to acquire the knowledge and skills necessary to progress and reach your career goals. We invite you to join our team.

Position summary

The Machine Learning group at Ericsson Research in Stockholm is a research group working on all aspects of data; storing and retrieving data, statistics and data mining, Deep learning, computing in distributed systems and visualization of insights.

This thesis wor aims to deploy advance predictive analytics on real-world manufacturing industries to enable degitelization of world class industries and increase tracebility to improve flexibility, efficiency and sustainability in their manufacturing process by utilization of 5G connectivity.

The research will be conducted in an ongoing project on 5G for world class manufacturing in collaboration with Swedish industry and academia.

The thesis topic is about predicting failures for predictive maintenance constructed using machine learning and advanced analytics on data gathered from (IoT) connected manufacturing running system combined with operational processing data to automate and optimize the complex operation and maintenance processes.

The thesis would involve the following steps (can be adjusted to research interest of the candidate):

·  Literature review, identifying relevant machine learning concepts and algorithms.
·  Analyze available network traffic dataset and/or generate suitable data sets
·  Implement the machine learning concepts in prototypes
·  Analyze the performance of the new concepts and compare with existing concepts

Qualifications

We are looking for an open-minded student who seeks a challenging research work within connectivity and industry sectors with the freedom to propose and develop your own ideas. To be successful in this thesis work the candidate would need the following:

·  MSc studies in Computer Science or similar area.
·  Excellent skills in programming languages (Java, Python or Scala).
·  Excellent skills in data analytics and machine learning
·  Knowledge about big data platforms such as Hadoop and Spark.
·  Like to build end to end prototypes and concepts

Be fluent in English.

Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to 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 genetics.

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) || || Stockholm || Stud&YP

Req ID: 197024