Driven by the passion to improve the quality of people’s lives, WS Audiology continues to grow as the market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation to reach more people, more effectively.

As a Hardware (EAD, Acoustic Simulation) Intern, you will support simulation and analysis activities to enhance hardware and acoustic performance in product development. You will work with engineers on modeling, testing, and validating acoustic systems to improve design efficiency and accuracy. This role provides valuable exposure to acoustic simulation tools, hardware design processes, and practical problem-solving.

What you will do

• Develop and apply scientific machine learning models to solve partial differential equations and acoustic problems
• Review recent advancements in scientific machine learning and contribute insights
• Document and publish results obtained during the internship.

What you bring

• Currently pursuing a degree in Computer Science, Acoustics, Engineering or a related field
• High degree of independence and problem-solving skills
• Experience in machine learning model development
• Proficiency in Python and deep learning frameworks such as PyTorch
• Background in acoustics or solving PDEs is a plus.

Who we are

At WS Audiology, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful? We can't wait to hear from you.

WS Audiology is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.