Master Thesis: Data Visualization with Augmented or Virtual Reality for Machine Intelligence

Job description

Ericsson Overview

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Ericsson is a world-leading provider of telecommunications equipment and services to mobile and fixed network operators. Over 1,000 networks in more than 180 countries use Ericsson equipment, and more than 40 percent of the world's mobile traffic passes through Ericsson networks. Using innovation to empower people, business and society, Ericsson is working towards the Networked Society: a world connected in real time that will open up opportunities to create freedom, transform society and drive solutions to some of our planet's greatest challenges.

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

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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, systems that automatically learn from data, computing in distributed systems and visualization of insights.

Mobile networks are today the main providers of internet connectivity to mobile users. To quickly detect and fix potential problems in these networks is crucial to be able to ensure a good user experience level. One key technology to accomplish this is machine learning that allows us to automate some management related tasks. Another key technology is data visualization and how to visualize the insights from the machine learning process so that operators easily can understand how the network is performing, being able to quickly focus on the relevant information and act upon it.

This thesis work aims to investigate the potential for new interactive data visualization technologies such as augmented- and virtual reality and how these technologies can be used to improve the human understanding of network operations.

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

• Literature review, identifying and reading relevant state-of-the-art in data visualization

• Design interactive data visualization concept(s) for selected data sets

• Implement prototype of selected data visualization concept(s)

Qualifications

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We are looking for an open-minded student who seeks challenging research work 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 (c#, python, javascript or similar).

• Excellent skills in 3D modeling (Unity, OpenGL)

• Experience in data processing for data visualization purposes

• 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: 197025