Constrained Reinforcement Learning for Network Control 478411

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.

The mission and scope of GF Technology is to enable the full value of connectivity for service providers through Technology Leadership. The unit shall sharpen Ericsson's competitiveness in the Technology Leadership arena through well defined Technology and Business Strategy, and ensure a strong industry position for Ericsson.

Our Outstanding Opportunity
Automation in mobile networks has been gaining significant attention in the Swedish industry. The challenge of autonomous control, monitoring, management and configuration procedures of Mobile Networks are to improve Quality of Service (QoS) defined by Key Performance Indicators. In particular, the PhD project aims to develop and evaluate Reinforcement Learning techniques for critical distributed decision-making in future live mobile networks. In order to address the mission criticality in networks, Reinforcement Learning ideas will be combined with formal logics and model-checking.
We are currently looking for an enthusiastic candidate with solid course track record and passion for research to conduct industrial PhD studies within the aforementioned area of network automation and control through a combined framework of reinforcement learning and formal strategies that guarantee scalability and performance.

From the academic side, the PhD candidate will be supervised by Professor Jana Tumova (https://people.kth.se/~tumova/home.html) and her team at division of Robotics, Perception and Learning (RPL) of KTH Royal Institute of Technology (https://www.kth.se/rpl). From the industrial side, there will be collaboration with researchers at Artificial Intelligence unit (Aneta Vulgarakis Feljan, Alexandros Nikou).

You will
Work in the international workplace with leading industrial researchers and top academic researchers (RPL division) that will assist in development of technical skills
Collaborate, interact and be supervised by a diverse team of specialists of the field
Access to RPL facilities at KTH, as well as Ericsson software and hardware recourses. Office will be provided by both partners
Participate in top workshops and conferences
Be having an opportunity of taking PhD courses in both Swedish and European universities
Become an equal member of an AI research team at Ericsson Research and have 5 years of an industrial PhD position
Be eligible to have a competitive salary according to Ericsson’s collective agreement for early stage researchers


To be successful in the role one must have
MSc in Electrical Engineering, Telecommunication engineering, Computer Science, Mathematics or similar area
Availability of working and presence in Stockholm, Sweden full-time
Knowledge of in reinforcement learning and/or telecommunication systems. Familiarity with formal methods and model checking background will be a considered a merit
Solid mathematical background (calculus, algebra, probability theory, statistics, optimization, etc.)
Excellent writing and communication skills in English
Programming skills in Python documented by projects


Starting date
Flexible between January 2021 – June 2021.

Application
The application should include the following documents:
CV
A cover letter which includes motivation to apply for this position.
Transcripts of studies (both B.Sc. and M.Sc.)
Bachelor and master thesis in digital format
List of academic publications, patents, etc. (if any)
Any additional certificates (if not academic) regarding relevant experience.
Contact information of two reference persons


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 the opportunity to make an impact is endless.

What happens once apply?
To prepare for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process

Location: Stockholm, Sweden.
Please enclose your CV in English.
Last application date: 01.02.2021.
You will be reporting to Sector Manager of Machine Reasoning at Group Function Technology Unit.
Due to the GDPR we cannot accept applications sent to email please apply with your CV and cover letter through the system.
In case of questions please contact the recruiter: Anastasiia Moriarti at anastasiia.moriarti@ericsson.com.


Curious to know more about the life at Ericsson? Meet some of your future colleagues and watch our People film.

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 || R&D
Req ID: 478411