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Researcher Engineer / Applied Reseacher

Posted date: Dec 23, 2020

Location: Athlone, WH, IE

Company: Ericsson

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?

Come, and be where it begins.

Our Exciting Opportunity

Our Ericsson R&D Athlone Campus have a phenomenal opportunity with our dedicated applied research team for a Data Scientist / Machine Learning research specialist!

Our new Research Engineer in Analytics and Machine Learning will work within the Network Management Lab. Successful candidates will carry out cutting-edge research, craft innovative solutions for network management problems by applying sophisticated analytics and machine learning techniques to develop proof-of-concepts.
 

Ericsson is a globally leading provider of communications technology and services. Our offerings include services, consulting, software and infrastructure within Information and Communications Technology for telecom operators and other industries. We passionately apply our research and innovation to produce ground breaking solutions towards the Networked Society, in which everything that can benefit from a connection will have one. We invest in our staff to ensure professional growth, offer a stimulating work experience, support continuous learning and provide growth opportunities that allow staff to acquire the knowledge and skills which are vital to attain and exceed their career goals.
 

As a part of global Ericsson conglomerate, the Ericsson Software Campus in Athlone, Ireland has over 900 Engineers onsite and is the Operator Support System (OSS) headquarters within Ericsson globally and the main development centre for OSS Product suites. The OSS is the global market leader in mobile telecoms network management. The OSS system is delivered into 320 operators in 150 countries and manages over 1 Billion subscribers.
 

Within above mentioned OSS headquarters, Network Management Lab (NM Lab) carries out cutting-edge research and development in network management domain. NM Lab has taken part in various European Union Research projects, has led European Celtic telecommunication research projects and hosted many Marie-Curie researchers. The NM Lab provides an excellent balanced environment between work and research-career-growth within a world’s leading telecommunication organization. To that end, NM Lab researchers have organised and chaired numerous IEEE workshops and similar event series, participated in many Technical Program Committees in leading IEEE/ACM conferences, have published extensively in reputed journals/conferences and have produced many patents in the past years.
 

Analytics and Machine Learning is one of the research domains within NM Lab. Within this research domain, in the contexts of network management, researchers have devised brand-new concepts, methodologies, built prototypes and have performed customer trials. On daily basis, researchers work on real world network management problems, analysing very large, real data sets to come up with innovative solution pushing the boundaries of the state-of-the-art. Our successful candidate will become a key player in this team and will get a rare opportunity gain industrial research experience in a world leading networking and telecommunications company.

Introductory video to Ericsson Software Campus Ireland: https://www.youtube.com/watch?v=ZiyVS5_-Eg0

Introductory video to OSS: https://www.youtube.com/watch?v=iMduQ96N1F8

You will

  • Be joining an outstanding team of 8 researchers (4 PhD-level researchers and 4 companion engineers) in the Data/ML field.
  • Develop and discover new ways of using machine learning algorithms on data sets (clustering, anomaly detection, etc.)
  • Become an indispensable driving force in the latest developments and groundbreaking research as a highly valued member of our research team.

To be successful in the role you must have

  • A PhD or a Master’s degree in computer science or in a related field
  • Excellent research experience in Telecoms domain and experience in Horizon 2020 (H2020) Projects
  • Experience in machine learning domain (e.g., in R or Weka or similar machine learning languages/frameworks, TensorFlow etc.)
  • Excellent exposure to computer systems, networks and programming (e.g., Java, Python, Kubernetes, microservices etc)
  • Experience in building prototypes, simulators and proof-of-concepts to validate research concepts
  • Sound analytical and system design skills are essential
  • Strong capabilities and eagerness to learn new methodologies and technologies quickly
  • Exposure to big data systems is advantageous
  • Good written, verbal communications and teamwork skills with proven research publication skills
  • Ability to work independently and maintain an inquisitive and highly communicative approach to work in our fast paced industrial research environment

What´s in it for you?

Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds – you will be redefining it. You won’t develop for the status quo, but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless.

What happens once you apply?

To prepare yourself for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process

 


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.


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