Researcher Computer Vision & Audio Analytics
Ericsson AB / Datajobb / Sundbyberg
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Ericsson Research develops concepts, solutions, methodologies, and algorithms supporting all aspects of Ericsson's products and services. The rapidly increasing demands for mobile broadband access in combination with needs for new technology and solutions and the Networked Society where everything that benefits from being connected will be connected: creates challenging and exciting opportunities for our organization. Building on our experience from real operations, profound knowledge about existing standards, and forward-looking research, we invent and master advanced concepts and solutions that shape today's and tomorrow's ICT industry.
Media Technologies Research Area:
Media Technologies is a research area at Ericsson Research with the mission to ensure that Ericsson products have world leading performance for media distribution and media applications. We also drive the digitalization of Ericsson and the Industry by developing enablers for AR/VR. In this capacity, we develop algorithms for media compression and object recognition, we also have a glass-to-glass competence from capture over processing and transport to rendering.
Job Description
Our team around content analytics works on state of the art algorithms for object detection in images and video as well as analytics of audio signals such as speech recognition, speaker identification, language detection, and similar. You will be part of this multi-disciplinary team doing fundamental improvement of the underlying algorithms as well as adapt existing algorithms to the use cases relevant for Ericsson. You will develop systems for use in emerging technologies such as AR/VR and for the enhancement of existing and future Ericsson products and businesses. Your work includes the commercialization of research from universities around the globe. Solutions and algorithms are described by their implementation, technical reports, technical specifications, academic papers, and patent applications.
You, as the successful candidate for the role:
• Will be working in an international team of world class researchers.
• Will be working with the forefront of tools in machine learning, computer vision and signal processing.
• Will deepen your understanding of machine learning algorithms such as convolutional neural networks and classical pattern recognition algorithms.
• Will work in a dynamic department where there will be opportunities for learning, trying out new roles and responsibilities, impacting ways of working, and much more
Your qualifications:
• Master's or PhD degree in Computer Science, Electrical Engineering, Engineering Physics, or similar technical field; newly graduated or with work experience
Your abilities:
• You have strong analytical skills, eagerness to find innovative solutions to complex problems.
• You have a background and strong interest in machine learning.
• You have solid programming skills and command of, e.g., C, Python, Matlab and some of the state of the art machine learning tools.
• You like to try new ideas, understand the theory behind them and have the drive to make them work in practice.
• You can take initiatives.
• You like to work in an environment where you cooperate closely in a diverse team of colleagues, together striving to fulfil common targets.
• You can communicate with people and find it easy to explain your findings and knowledge to others.
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.
Publiceringsdatum2017-12-08Så ansöker duSista dag att ansöka är 2017-12-22
Klicka på denna länk för att göra din ansökanFöretagEricsson AB
AdressEricsson AB
KI/EAB/DKG/DA
17281 Stockholm
KontorsadressKistagången 6
Jobbnummer 3844609
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