MSc thesis: Augmenting Expert Policies with Reinforcement Learning

Rekryterare
Ericsson
Plats
Stockholm, SE
Annonserat
den 20 oktober 2021
Stängs
den 11 november 2021
Ref:
602802-en_US
Kategori
Övriga jobb
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

In Ericsson Research we are inventing new technologies to bring automation and intelligence in large complex telecom systems through machine learning and other artificial intelligence techniques. We are looking for a talented student to work with us on state-of-the-art reinforcement learning algorithms.

In this project, you will look at the problem of controlling antennas in a network by augmenting existing expert policies using reinforcement learning. These expert policies are often rule-based methods which become suboptimal when applied to increasingly complex networks. Instead, we could replace them by reinforcement learning algorithms but those often require a vast amount of data. To address these challenges, you will study techniques that uses expert policies to make the training of reinforcement learning agents more efficient. Specifically, you will develop and evaluate state-of-the art algorithms that combine reinforcement learning with expert policies based for example on residual learning, active learning and reinforcement learning from demonstration.

The work will be relying on an in-house network simulator for experiment.

Qualifications

  • Master's student with most courses completed and good grades
  • Strong programming skills (languages like python and Julia preferred)
  • Good knowledge of and interest in mathematics and statistics
  • Good knowledge in reinforcement learning and deep learning, experience with pytorch, tensorflow, openai gym or similar is encouraged.
  • 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


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

Hiring manager: In this role you will report to Master Researcher

Recruiter: Karolina Jałkowska (karolina.jalkowska@ericsson.com)

Location: Stockholm, Sweden

Kindly note that we do not accept applications sent via e-mail

Do you believe that an organization fostering an environment of cooperation and collaboration to execute with speed creates better business value? Do you value a culture of humanness, where fact based decisions are important and our people are encouraged to speak up? Do you believe that diverse, inclusive teams drive performance and innovation? At Ericsson, we do.

We provide equal employment opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity and/or expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, indigenous status, disability, age, union membership or employee representation and any other characteristic protected by local law or Ericsson's Code of Business Ethics.

Primary country and city: Sweden (SE) || || Stockholm || [[mfield2]]

Req ID: 602802

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