Master thesis student: Machine learning for multi-antenna systems

Rekryterare
Ericsson
Plats
Stockholm, SE
Annonserat
den 19 november 2021
Stängs
den 29 december 2021
Ref:
617267-en_US
Kategori
Drift & System
Anställningsform
Tillsvidare
Sysselsättning
Heltid
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

Background

Ericsson Research is looking for Master Thesis candidates with enthusiasm and skill, to be part of our current Radio research and specifically in our research on trustworthy wireless communications.

Assignment

The objective of the thesis project is to contribute to the development of future AI empowered wireless systems that are trustworthy by design.

Reliable and efficient operation of radio communication relies on accurate and reliable channel state information. However, intentional pilot-contamination has been identified as a security threat to wireless communication systems.

The goal of this project is to develop new resilient machine learning based pilot contamination detection and intrusion detection schemes. The developed schemes should be able to withstand intelligent attackers and adversarial learning techniques and come with performance guarantees.

We consider a system model that describes a pilot-based CSI acquisition process that is guarded by a pilot-contamination detector and assume the objective of the attacker is to manipulate the CSI estimate in a desired way without being detected. In order to evaluate the worst-case performance, we apply an optimization-based approach under the assumption that the attacker has full knowledge of the system (i.e., a white-box attack) and composes its attack vector of two components, a pilot contamination signal and a perturbation signal to attack the detector. This restriction is necessary since solving the underlying optimization problem is only feasible for toy examples. However, it allows us to apply the existing theory of adversarial learning to this problem, and results will provide us with achievability bounds on the worst-case performance.

As a student, you will be involved in the developing of such algorithms as well as implementing and testing them by means of computer simulations. The assignment involves the understanding of the theoretical foundations, developing simulation environments and evaluating the results.

Deliverables

Deliverables expected at the end of the thesis project include clearly documented working code, a final thesis report, and a live presentation of the final implementation and outcome to an Ericsson audience. Note that these are in addition to your university thesis requirements.

Qualifications

As a person, you want to perform at your best and you want to participate in deep technical discussions with other team members. You believe that technical innovation involves the theoretical foundation and applying them in developing realistic models.

We are looking for a self-motivated and creative student with the following qualifications:
  • Master student in the area of Engineering Physics, Electrical Engineering, Computer Science, or similar
  • Fluency in English
  • Excellent analytical skills
  • Hands-on programming experience, preferably in Python, R, C/C++, MATLAB
  • Ability to work independently
  • Good knowledge of linear algebra, optimization theory, signal processing and machine learning is a merit


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

Location: Kista, Sweden

Please submit your application in English as soon as possible - we are working continuously with candidate selection.

For specific questions please reach out to the responsible recruiter: Sylwia Kwiecien sylwia.kwiecien@ericsson.com

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 || [[mfield2]]

Req ID: 617267

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