Internship: AI based Workflow for RF Measurements

DRESDEN, SACHSEN, Germany

Emerson

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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 Offer to You: 

We attach great importance to your development, so we want to make sure that you not only find a challenging job with us, but also a workplace that is supportive and rewarding. You'll receive structured onboarding as well as dedicated support from professional mentors. 

Practical expertise imparted:

  • Opportunity to work with the latest measurement techniques and equipment 
  • Experience in improving technology day by day
  • Get insight into how day-to-day business looks like for an engineer 
  • Work in an international R&D team 

In addition, you can expect a variety of attractive employee benefits:

  • Fair compensation
  • Flexible working hours
  • Team events and free drinks, fruits, and veggies

We are committed to providing an inclusive, open, and welcoming workplace environment for people, helping all to make the most of their professional potential.

We understand the importance of work-life balance and are dedicated to supporting our employees' personal and professional needs. From competitive benefits plans and comprehensive medical care to equitable opportunities for growth and development we strive to create a workplace that is supportive and rewarding.

Depending on location, our flexible work from home policy allows you to make the best of your time, by combining quiet home office days with collaborative experiences in the office so that you can personalize your work-life mix.

Moreover, our global volunteer employee resource groups will empower you to connect with peers that share the same interest, promote diversity and inclusion and positively contribute to communities around us.

 

 

 

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Job stats:  18  6  0
Category: Deep Learning Jobs

Tags: APIs Classification Computer Science Data analysis Deep Learning Engineering Machine Learning Python PyTorch R R&D Research Statistics TensorFlow

Perks/benefits: Career development Competitive pay Flex hours Gear Health care Team events

Region: Europe
Country: Germany

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