ericsson master thesis sweden

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Ericsson in Sweden

Ericsson is one of the world's leading information and communication technology companies. Our headquarters are located in Stockholm, Sweden, which has been our base for the past 140 years. Today, our operations extend throughout the country and the world. In Sweden, we conduct research and development on eight sites, from Luleå in the north to Lund in the south.

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About Ericsson

In Sweden, Ericsson employs 14500 from over 100 nationalities that work within all areas of the company - research, development, sales, production and administration.

We are Sweden's largest employer of engineers and during the last years, we have hired thousands of new engineers. We also hire 400 student summer interns each summer and 200 students write their master’s thesis with Ericsson each year.

Globally, Ericsson has 60,000+ patents, customers in 180 countries, more than 99,000 employees, 263 billion SEK in net sales (2023). 

With 5G, everything that benefits from being connected can be connected. That is why we see the 5G network as critical national infrastructure. It is just as important for a country as rail, electricity networks and roads. Everything from driverless cars to weather balloons will rely on 5G to work.

Ericsson is a leader within development of artificial intelligence (AI) and machine learning (ML). As the data networks of the future will be very data-intensive systems, AI is a prerequisite for being able to utilize the full potential of the network. AI is therefore a key component of all of Ericsson's product and service offerings.­

The fourth industrial revolution, also known as "Internet of Things", is about creating smarter cities, transport systems and industries. Sweden is the country in Europe that applies for the most international patents within industry 4.0 and during the last decade 4 out of 5 of these applications have come from Ericsson.

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Master thesis proposals - external

Ericsson research .

The Machine Learning team in Ericsson Research now has a position on safe learning-based control for telecommunication networks! If  exploring intelligent control strategies that maximise performance while ensuring safety is something that sounds interesting, please do not hesitate to apply by May 9th.

Master Thesis - Balancing Safety and Performance: Intelligent Control Strategies for Learning-Based Systems

Contact person: Ioanna Mitsioni [email protected]  

ABB Corporate Research Center

ABB Corporate Research Center is  offering a position for generating behavior tree policies for robots by c ombining planning and learning together with a user interface for human input and feedback . Please apply by  18th of December!

https://careers.abb/global/en/job/89031397/Thesis-Work-for-Behavior-Tree-Policy-Editor

Marcus Wallenberg Laboratory for Sound and Vibration Research

A project in applying LLMs to literature search:

LLM_Project_MWL

ABB Robotics

ABB Robotics are offering two positions in the motion control group for spring 2024 for exploring the intersection of AI/ML and robotics. Please apply by  13th of November!

https://careers.abb/global/en/job/89028627/Thesis-Work-Robotics-R-D-Motion-Control-generative-AI

https://careers.abb/global/en/job/88926384/Thesis-Work-Robotics-R-D-Motion-Control-machine-learning

Scania Autonomous Driving

The concept of autonomous driving has rapidly transitioned from being a futuristic vision of robotics and artificial intelligence to being a present-day reality. We are looking for thesis students starting from January 2024. Please see our open projects below, welcome to apply!

Thesis Project - 30 credits – Motion Prediction and Planning with Self Supervised Learning for Autonomous Driving

Contact person: Yi Yang ( [email protected] ) / John Folkesson ( [email protected] )

Thesis Project - 30 hp – Master's Thesis: LiDARs Images Fusion for Object Detection Thesis Project - 30 hp – Master's Thesis: Road Surface Estimation based on Multi-Sensory Data Thesis Project - 30 hp – Master's Thesis: Dynamic Occupancy Grid with LiDAR

 SCANIA Production & Logistics

In the age of Industry 4.0, automation and digitalization have emerged as transformative forces reshaping the manufacturing landscape. Scania’s Global Industrial Development is responsible for developing and maintaining Scania’s common core competence within Production & Logistics.  We are looking for thesis students starting from January 2024. Please see our open projects below, welcome to apply!

Thesis Project - 30 credits – Future Manufacturing Quality Inspection System with Deep Learning-Based Computer Vision and Synthetic Data

Thesis Project - 30 credits – Using AI for Energy Efficiency Analysis in Manufacturing Thesis Project 30 credits – Smart Factory Lab - Robotics & Automated Cable Assembly, Computer vision for safety & Generative AI for Operator support

Contact person: Xiaomeng Zhu ( [email protected] )

Silo AI is Europe's largest private AI lab. We partner with industry leaders to build smart devices, autonomous vehicles, Industry 4.0, and smart cities. Silo AI recently launched SiloGen, which is now part of a groundbreaking consortium aimed at building the world's largest open-source Large Language Model. With SiloGen, our specialized arm in generative AI, we are redefining the future of AI and ensuring European digital sovereignty.

This spring we offer two exciting Master projects on Generative AI. Please follow the instructions in the descriptions below on how to apply. Welcome with your application!

Adaptive Generative Agents in Dynamic Environments

Stable Diffusion for Spatio-Temporal Consistent Generations

Ericsson Research

Looking for a thesis project during Spring, starting in January 2024? Did you know Ericsson Research develops research on themes related to robotics and AI? Take a look at the current projects we have open:

Ericsson Research - Short MSc Thesis Description - Spring 2024

Requirements

All the projects require some common skills:

• Strong ability to formulate problems and solve them, independently and in groups.
• Programming skills, preferably in Python or C/C++.
• Strong communication skills in written and spoken English.

To apply or get more information

Project 1: Fernando dos Santos Barbosa - [email protected]

Hitachi Energy

The electrical power system is evolving due to e.g. an increasing amount of renewables and distributed power generation. FACTS (Flexible AC Transmission Systems) devices can assist with this evolution by improving the power quality and reducing the risk of system disconnections.  

In this master thesis proposal, we want to investigate the application of machine learning to a FACTS device. The device itself is based on a power electronic converter and has its own local controller. The performance, in terms of efficiency and stability, is dependent on modelling assumptions which may to a certain extent deviate from reality. Here, the objective would be to improve the performance of the FACTS device, by application and integration of a suitable machine learning method into the control. The master thesis is planned to start in January 2023. 

Contact: Jonathan Hanning,  [email protected]

For more details, see: https://www.hitachienergy.com/career/jobs/details/SE53908798_E1

Ocean Infinity

Ocean Infinity has a number of proposals  for thesis projects.  These involve problems within underwater perception, sonar and robotics.  For example:

• Target Identification and classification from sidescan sonar  data.
• MultiBeam Echo Sounder (MBES) image alignment and outlier rejection.
• Localization of AUV swarm (SLAM loop closing)

Please contact John Folkessn [email protected]  for more information.

Arriver Sweden

Knowledge Distillation for Autonomous Driving

Description

CNN-based association for Multiple Object Tracking

Cross-city domain shift is the cause of a 25-30% metrics drop  of normal Deep Learning predictors. Change of weather and lighting conditions might even result in more disruptive effects. Therefore, to provide a robust and accurate output, the predictor would need to be trained on every possible deployment condition, e.g. multiple cites, districts, seasons, kinds of weather, cameras pose and intrinsics. This largely reduces the scalability of AI solutions both in terms of costs and deployment time. Recent Unsupervised Domain Adaptation (UDA) methods proved to be very effective in mitigating (or even solving) these shortcomings.

Contact: Pier Luigi Dovesi <[email protected]> Application link, full description and details:  https://career.univrses.com/jobs/1401972-master-thesis-project-unsupervised-domain-adaptation

SkyCraft AB

Master projects in CV and ML on powerline detection

Viscando AB

Projects within deep learning, signal processing and modelling for traffic and autonomous vehicle safety

Babyshop Group

Leveraging transfer learning for multi-label attribute prediction in fashion images, using deep learning

At Babyshop Group, there exist tens of thousands of images of children’s apparel. Currently, new items are labeled by hand, where each item has multiple attributes, eg. color, category, pattern, neckline, and style, etc. Since the workload of this manual task is immense, a need for a support system is high. In literature, a multitude of previous work has been done in regards to multi-label attribute prediction on fashion clothing, most notably  DeepFashion  and  iMaterialist Fashion . Here, deep learning models have been trained on hundreds of thousands of labeled images to predict corresponding attributes, which has proven highly successful. However, almost all of these images are of adult fashion, with very little emphasis on childrens’ fashion.  The question then arises, is it possible to combine the pre-trained models from previously mentioned multi-label attribution prediction models that are trained on almost exclusively adults’ fashion, together with the learnings from transfer-learning frameworks - in order to successfully perform multi-label attribution prediction on childrens’ fashion?

Required qualifications:  MSc studies in Computer Science, Machine Learning, Computer Engineering, Mathematics, Physics, or related field; Good understanding of machine learning frameworks such as Keras, TensorFlow, PyTorch, Scikit-Learn, and/or Spark; Proficiency in Python and Git; Knowledge about data wrangling and data munging, using SQL, Pandas, and Numpy.

Web version  of the proposal with instructions on how to apply.

Time frame: from early January to mid-June.

Contact:  Marcus Svensson ( [email protected] ), Data Scientist at Babyshop Group

Master Thesis Project

• Stockholm ( Stockholm )
• Design / Civil engineering / Industrial engineering

Job description

Master's Thesis Project About Us Ericsson is a world-leading provider of telecommunication equipment & services to mobile & fixed network operators. Over 1,000 networks in more than 180 countries use Ericsson equipment, & more than 40 percent of the world's mobile traffic passes through Ericsson networks. Using innovation to empower people, business & society, we are working towards the Networked Society, in which everything that can benefit from a connection will have one. At Ericsson, we apply our innovation to market-based solutions that empower people & society to help shape a more sustainable world. We are truly a global company, working across borders in 175 countries, offering a diverse, performance-driven culture & an innovative & engaging environment where employees enhance their potential every day. Our employees live our vision & core values. They share a passion to win & a high responsiveness to customer needs that in turn makes us a desirable partner to our clients. To ensure professional growth, Ericsson offers a stimulating work experience, continuous learning & growth opportunities that allow you to acquire the knowledge & skills necessary to reach your career goals. Master Thesis Project Doing your Master thesis with us at Ericsson means that you will work on a challenging thesis project and develop your skills in the areas you’re most passionate about. You will be exposed to a truly global organization that develops cutting edge technology which leads the way in the Networked Society. Our non-hierarchal culture will let you engage with some of the brightest minds in the industry – At Ericsson we believe in a supportive, open environment where you can ask anyone, anything, anywhere around the world. For you - this is a great opportunity to learn from the foremost experts in the field as well as develop a deeper knowledge about the ICT industry and what areas might suit you as you start the exiting journey of your future career. You will work within Ericsson Business Unit Network Services, Practice Area Network Roll-out and Customer Support. Project 1: Research Description - Fiber Network Deployment – Civil Work related methods and techniques used in Fiber Deployment projects Today’s digital life is expanding into more areas of society and business. When one person is connected their life changes, and when everything is connected - our world changes. In the Networked Society, the access to send and receive data is central to us. The need for fiber-optic transmission is rapidly increasing to cope with the ever increasing bandwidth requirement driven by new applications, specifically video related services. Fiber is also a key enabler for the next generation all-optical IP network. The purpose of this thesis work is to investigate different Civil Works related deployment techniques that can be used when building Fiber Networks. As the Civil Work related part, especially for underground networks, represents the largest cost in Fiber deployment projects, it is important that we have a good understanding of the different methods and techniques to be used, their associated benefits and cost as well as applicability in different types of deployment scenarios. In this thesis work you will be part of a dedicated team working with fiber deployment projects globally. You will have the unique opportunity to be part of creating the ways of working and recommendations for our fiber business globally. The scope will depend on your background and interests. Qualifications This project is suitable for a master student within civil- or mechanical engineering. Excellent grades and fluent skills in written and spoken English are also essential requirements. The work is research-oriented, therefore the ability to learn quickly, work independently and identify problems and solutions is necessary. Moreover, you have several of the following competences; ·  Master’s student with most courses completed and good grades ·  Excellent communication and team working skills ·  Excellent written and spoken English, ability to work as part of an international team ·  Strong result orientation and thirst for knowledge ·  Interest and experience from the telecom industry Project 2: Research Description - The Digital Transformation of Service Delivery The traditional telecom support services business is rapidly evolving when we introduce cloud in the convergence of Telecom and IT, a digital transformation driven by changes in the market and higher demand on outstanding customer experience when delivering customer support. Leading this transformation and be perceived as the market leader requires new tools, new ways of working, new methods and new knowledge. The purpose of this work is to explore new innovative ways of working in enhancing customer experience when delivering support services, using the experience from computer game industry (e.g. storytelling and game design) and/or analytics and machine learning. You will have a unique opportunity to contribute to Ericsson’s innovation in the services area. The scope will depend on your background and interests. Qualifications This project is suitable for a master student with a degree in data science, engineering, game development or similar. You believe that disruptive innovation happens in the intersection of different technology areas. Excellent grades and fluent skills in written and spoken English are also essential requirements. The work is research-oriented, therefore the ability to learn quickly, work independently and identify problems and solutions is necessary. Moreover, you have several of the following competences; ·  Master’s student with most courses completed and good grades ·  Good knowledge in machine learning ·  Interest or degree in game development ·  Excellent communication and team working skills ·  Excellent written and spoken English, ability to work as part of an international team ·  Strong result orientation and thirst for knowledge ·  Self-motivated and positive attitude Project 3: Research Description - Successful omni-channel approach in B2B service industries The traditional telecom support services business is rapidly evolving when we introduce cloud in the convergence of Telecom and IT, a digital transformation driven by changes in the market and higher demand on outstanding customer experience when delivering customer support services. Leading this transformation and be perceived as the market leader requires new tools, new ways of working, new methods and new knowledge. The purpose of this work is to explore how other industries use self-service to enhance customer experience when delivering support services, leveraging the omni-channel approach to move up the value chain. Which ways of working are successful in increasing customer experience and growing the support services business? Which impact will digital media innovation and intelligent automation have on active self-service B2B value creation? A competitive analysis has to be made and the finding shall be the differentiator for Ericsson going forward. You will have a unique opportunity to contribute to Ericsson’s innovation in the services area. The scope will depend on your background and interests. Qualifications This project is suitable for a master student with a degree in business, engineering, or data scientist. You believe that disruptive innovation happens in the intersection of different technology areas. Excellent grades and fluent skills in written and spoken English are also essential requirements. The work is research-oriented, therefore the ability to learn quickly, work independently and identify problems and solutions is necessary. Moreover, you have several of the following competences; ·  Master’s student with most courses completed and good grades ·  Excellent communication and team working skills ·  Excellent written and spoken English, ability to work as part of an international team ·  Strong result orientation and thirst for knowledge ·  Self-motivated and positive attitude Project 4: Research Description - Customer Support Business Models in the Digital Age The traditional telecom support services business is rapidly evolving when we introduce cloud in the convergence of Telecom and IT. The telecom business has been for many years driven and contracted, delivered and performed based on customers demand and request through requests for proposals. This has led to that the tailoring of services between operators is large and the possibility for standardization is limited. At the same time the IT industry has been strict on what and how to contract and deliver support services with the result of a high degree of standardization leading to efficient delivery structure in tools, processes and methods. When these two industries now are coming closer to each other there is a need for a new and state of the art method for contracting and delivering the service. In order to stick out and be regarded as market leader requires new tools, new ways of working, new methods and new knowledge. The convergence of the two industries into the Digital Age are opening the possibilities for new business models. The purpose of this work is to explore business models from other industries in the customer support service area. Which business models are successful in growing the business in a world where customer support services are more commoditized? What makes the new and state of the art way of supporting products, solutions and networks in the Digital Age? What is the new industry dynamics that is required to be the leader? What are the tools and competence required to stand out and being successful? The thesis shall require a comprehensive market analysis to find the unique selling points when the new industry domain is being formed. A competitive analysis has to be made and the finding shall be the differentiator for Ericsson going forward. The scope will depend on your background and interests. Qualifications This project is suitable for a master student with a business, engineering or law degree. Excellent grades and fluent skills in written and spoken English are also essential requirements. The work is research-oriented, therefore the ability to learn quickly, work independently and identify problems and solutions is necessary. Moreover, you have several of the following competences; ·  Master’s student with most courses completed and good grades ·  Excellent communication and team working skills ·  Excellent written and spoken English, ability to work as part of an international team ·  Strong result orientation and thirst for knowledge ·  Self-motivated and positive attitude Please specify which project you would like to work on. The project is planned to start in January 2017 and the scope is 30 university points (högskolepoäng). A stipend salary will be given during the thesis project. Applications should include a short motivation letter and a CV (in English), as well as transcripts of records. Candidates are invited to send their applications as soon as possible. This master thesis is typically done together with another person. If you don’t have a partner we’ll be happy to receive your solo application. The selection and interview process is ongoing. If you have any questions, please contact [email protected] 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 || Stockholm || Stud&YP

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Ericsson empowers an intelligent, sustainable and connected world and we do it by relentlessly innovating technology that is easy to use, scale and adapt.

The core of Ericsson is our networks where we connect you, via your device, to all that the world has to offer – calling home, listening to music or sharing the latest cat meme. With 5G we lay the foundation for the future – enabling smart manufacturing, self-driving cars, large scale IoT and more.

Working at Ericsson brings you close to hundreds of future career opportunities in locations all over the world with the support to really find ‘your great’ and the ability to rediscover it, again and again.

At Ericsson in Linköping we offer employment, master theses as well as summer internship, all based on agile methods, in areas like machine learning, virtualization, cloud implementation, artificial intelligence, SW architecture, quality assurance, continuous integration and embedded systems.

We are looking for both newly graduated and experienced engineers to join us during 2021. Are you one of them?

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Jobbland / Lediga jobb / Master thesis - Macroeconomics 2023/2024

Master thesis - Macroeconomics 2023/2024

Ericsson – Stockholm , Sverige

Publicerad 2023-09-06 ( Slutdatum okänt )

Ansökningsperioden har avslutats

• How important are investments in ICT and particularly in mobile broadband for economic development?
• What methods can be used to analyze AI, IoT and 5G from an economic perspective?
• How can we measure the impact from AI on productivity and jobs?
• How will 5G and automation affect productivity?
• How can we measure the effects from ICT beyond GDP?

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