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.

Looking for a taste of working life in an international, future-focused corporate group? Then join us as an intern (m/f/d) and familiarise yourself with a suitable department for 3 to 6 months. You will be involved in large-scale projects and perform a defined set of duties independently. Use your internship to build a network and become familiar with our company. You want to support industrial research projects and teams with your interest in Machine Learning (ML), Deep Reinforcement Learning (DRL), network management and orchestration (NMO), related tools and technologies? Then join ABB, a global key player in industrial automation and smart electrification, as an intern or student worker. Apply your skills and grow personally in a challenging and fascinating environment. ABB is a technology leader driving the digital transformation of industries toward autonomous industrial plants and buildings. Industrial systems comprise automation systems, networks and devices, software tools and platforms, and control solutions. In the ABB Research Center Germany, we focus on innovating digital industries and smart and sustainable electrification systems. In our team, we contribute to these goals with connectivity, network automation and Industrial Internet of Things (IoT). Become a member of our team and be part of the projects and research teams and their endeavor of demonstrating great results by supporting with great DRL models and tools to support NMO.

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

We believe in fairness, so interns who join us will benefit from our expertise as they expand their own knowledge. We give you the scope to try things out for yourself and obtain practical experience. Your time is valuable, so you will receive appropriate remuneration for the duration of the internship. Please note that internships are generally limited to six months, while voluntary internships during a bachelor course are for a maximum of three months. Please state whether you are applying for a voluntary internship or undertaking a mandatory internship, and be sure to enclose your certificate of enrolment. In the case of mandatory internships, please include the corresponding extract from your university’s internship guidelines. Interested? Then we look forward to receiving your informative application (cover letter, CV, certificate of enrolment, current transcript of grades and other supporting documents) through our online careers tool.