Ericsson Careers

Master thesis: Making manufacturing systems smart with cloud based services

Stockholm, Sweden
Students and Young Professionals

English (US)

Job Description

Date: Nov 5, 2018

Machine Intelligence and Automation is a research area at Ericsson Research. Our mission is to drive machine intelligence thought leadership to automate and transform Ericsson offerings and operations and to enable emerging business. This includes development of models, frameworks and infrastructure where we in our advancements push the technology frontiers. We engage in both academic and industry collaborations and drive the digitalization of Ericsson and the Industry by developing state of the art solutions that simplify and automate processes in our products and services and create new value through data insights.


The Cognitive Automation Lab group at Ericsson Research in Stockholm is a research group within the Machine Intelligence and Automation research area working on all aspects of artificial intelligence, such as knowledge representation, deduction, reasoning and problem solving, image processing, natural language processing, automated planning and applied machine learning. We are currently looking for up to two talented and motivated master thesis students that will work on knowledge representation challenges for smart manufacturing. 


Position summary
Industrie 4.0 and similar programs demand ubiquitous connectivity in the industrial settings and constant communication with the cloud-deployed services. One of the most prominent standards in this domain is OPC-UA. In order to enable smart manufacturing processes, industrial systems not only need to connect to the cloud but also be controlled with AI. AI systems have established approaches to knowledge representation, which differ from the information model used in OPC-UA. This makes it very important to find a way to link AI systems and industrial control systems and define an architecture for such linking.
This thesis is suitable for 1-2 students. The thesis would involve the following steps (can be adjusted to research interest of the candidate(s)):
• Review of literature of methods to bridge OPC-UA information model to other models as well as of the relevant knowledge representation approaches in the manufacturing domain.
• Mapping common AI knowledge representation technologies (triples, n-ary predicates, frames) to the information model in the UA Address Space.
• Development of the prototype to provide a linked data1 interface to the OPC-UA infrastructure.
• Proposal of an overall integration architecture to connect OPC-UA infrastructure with the cloud-based AI systems.

We are looking for 1-2 open-minded students who seek a challenging research work with the freedom to propose and develop your own ideas. To be successful in this thesis work the candidate(s) would need the following:
• MSc studies in Computer Science, Electrical and Computer Engineering or a similar area.
• Excellent programming skills in an OO language (Java/C++/etc.); experience with functional and logic programming is a plus.
• Good knowledge of the OSI stack and REST services.
• Understading of abstract algebra, semantic web concepts, and knowledge representation in AI is a plus.
• Like to build end-to-end prototypes.
• Be fluent in English.


Contact person: Andrii Berezovskyi


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Primary country and city: Sweden (SE) || || Stockholm || Stud&YP

Req ID: 262042