Master Thesis: Product configuration using Constraint Learning and Reasoning

Rekryterare
Ericsson
Plats
Stockholm, SE
Annonserat
den 15 februari 2021
Stängs
den 26 februari 2021
Ref:
517102-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.

We offer an opportunity for a self-motivated and enthusiastic student with a research-oriented mindset to work on the below interesting and challenging topic.

Thesis background

The complexity of modern systems, intended as a collection of interacting components, has grown significantly in recent years. Historically, a formal representation of those systems was used in order to find an optimal configuration. Those formal models were usually manually created by experts. However, due to the increased complexity of modern systems, defining a representative model has become a challenging task. Traditional Machine Learning approaches, on the other hand, can learn a model of a system automatically, given a set of examples; but their representation is not suitable for reasoning engines. Moreover, some problems are more naturally formulated as constraint satisfaction and optimization problems. The integration of Machine Learning and Machine Reasoning has long been recognized as a key open challenge. Constraint Learning and Reasoning has emerged as a promising paradigm to solve this problem.

Project aim

Building a tool that is able to interact with a system in order to learn its behavior and find the optimal configuration. In the first phase constraints and logical rules are learned through queries to the system or from collected data. The second phase involve reasoning over the learned constraints and logical rules in order to find the optimal solution.

The thesis work is offered by Ericsson, conducted under joint supervision by Ericsson Research as well as the host university of the student where the results will be reported back to Ericsson.

To be successful in the role you must have

  • a good understanding of both the reasoning and learning paradigms required for the project
  • most of your university courses completed towards graduating in Computer Science, Automatic Control, Electrical and Computer Engineering or similar area.
  • Strong programming skills (preferably Python).
  • Constraint/Logic programming, mathematical/optimization/formal modeling knowledge
  • Interests in Machine Learning, Statistics, Probability Theory
  • Solid communication skills.
  • Fluency in English.


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

Application:

Your application should include the following documents:
  • CV
  • A short cover letter which includes motivation to apply for this position.
  • Transcripts of studies (Both B.Sc. and up-to-date M.Sc.)
  • Any additional certificates (if not academic) regarding relevant experience.


Location for this role: Kista, Sweden

Recruiter: Sylwia Kwiecien sylwia.kwiecien@ericsson.com

Last day to apply: 25.02.2021

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 || Stud&YP

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