Internship or Student Worker
Vor 3 Tagen
**Internship or Student Worker (f/m/d) Deep Reinforcement Learning for Industrial Network - Management and Orchestration**:
**Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future. At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.**:
**Your responsibilities**:
- In close collaboration with our research team, you
- will engage in developing, implementing and evaluating the cutting-edge ML models i.e. DRL to interact with the industrial networks and manage them automatically including optimization, failure management and KPI satisfaction.
- More specifically, you will develop and implement
- DRL methods that can manage and orchestrate industrial networks by interacting based on the data gathered from the network. In addition, you will work on solutions to re(configure) the networks
- automatically by using DRL methods.
**Your background**:
- We expect you to bring creativity, initiative, and
- result orientation to support driving our innovations toward new products and services.
- You have a study background in communication
- systems, computer science, data science or similar knowledge from IT or ML.
- You bring experience with developing ML models,
- particularly Deep Learning, Deep Reinforcement
- Learning and/or Federated Learning. Being familiar with Industrial networking is desired. Having
- good knowledge on Software define networking
- (SDN), Network Functions Virtualization (NFV) is
- a big advantage. Basic knowledge on Containerization, Linux and IoT can be an advantage.
- You are highly motivated, team-minded, and able
- to work independently.
- Fluent English in verbal and written form is required.
**More about us**:
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