Internship: AI based Workflow for RF Measurements

Wireless communication, sensing technologies and RF components continue to increase in complexity with added functionality. At the same time, AI is transforming the way developers can design and test these systems and how we all can use them. In this internship, you will be looking at ways to modify traditional workflows in RF design and test using AI technology to improve their outcome significantly. 

In This Role, Your Responsibilities Will Be:

• Literature research
• Building proof-of-concept implementations of selected algorithms and functionality
• Assessing performance and quality of results of the implemented algorithms and functionality
• Demonstrating your work to internal customers
• Documenting your work 

Who You Are: You are passionate about wireless technology and like to learn and work with the latest test and measurement techniques and equipment. You take time to ask questions and define the problem and make learning a priority.You work effectively in a group environment, problem-solve, diagnose technical issues and propose reasonable solutions.You prepare content for communication that is impactful and get in touch with mentors with questions to help drive progress and completion of goals and tasks.

For this Role, You Will Need:

• Academic studies in Electrical Engineering, Information System Technology, Computer Science, or comparable field of studies (from 4th semester)
• Basic programming knowledge (e.g., C/C++ or Python)
• Basic knowledge of RF engineering
• Interest in data science and/or AI with a solid understanding of basic statistical methods
• Good command of spoken and written English and/or German
• Compulsory internship (internship duration: 4 - 6 months)

Preferred Qualifications that Set You Apart:

• Experience in the practical use of data analysis tools or methods (in classification & regression, estimation & prediction, data correlation, principal component analysis, …)
• Experience in the practical use of machine learning, deep learning, artificial intelligence tools or methods (AI APIs and toolchains, PyTorch, Tensorflow, …)
• Good knowledge of programming and RF engineering
• Ability to work independently in a structured way

Our Culture & Commitment to You:

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.