R&D Internship

As an intern at Applied Micro Electronics (AME), you will become part of a multidisciplinary engineering team within our RD&D department. You will work on an assignment that helps lay the foundation for tomorrow’s products and technologies.

The internships start in February 2027 and lasts approximately five to six months. Please note that you must remain enrolled in an educational programme for the entire duration of the internship.

At AME, internships are not about completing a predefined task in isolation. You will contribute to exploring new ideas, investigating technical possibilities and turning early concepts into tangible results. Depending on the assignment, this may involve feasibility studies, prototyping, testing, simulations or researching new materials and technologies. The insights you generate can help guide future product development and strengthen AME’s technical knowledge.

You will work alongside experienced engineers from disciplines such as hardware, embedded software and mechanical engineering. This gives you the opportunity to learn from different perspectives and see how these fields come together in the development of electronic and mechatronic systems. With access to our in-house development tools and prototyping facilities, you will be encouraged to investigate, test and validate your ideas in practice.

During your internship, you will develop practical technical skills as well as your ability to analyse open-ended challenges, make well-founded decisions and communicate your findings. You will receive guidance from your supervisor while being given the space to take ownership of your assignment. Above all, it is an opportunity to contribute to real engineering questions in a collaborative environment, while discovering what it is like to work on technology that makes a difference.

Below you can find an overview of the internship and graduation assignments currently available at in the R&D department at AME. Each assignment has a different technical focus, but all offer the opportunity to work on a real engineering challenge in collaboration with experienced AME professionals. To learn more, click on an assignment title to view the full description.

Active EMI Filtering for Compact Electronics

Education level: Bachelor
Discipline: Electrical Engineering / Power Electronics
Type: Internship or graduation project

Investigate whether active EMI filtering can reduce the size of filters used in AME electronics. You will compare active and passive filtering approaches across several application areas, develop a prototype for the most promising application and evaluate its EMI performance, footprint and implementation trade-offs.

AI-Based Biometric Identification

Education level: Bachelor or Master
Discipline: ICT / Embedded Software / Artificial Intelligence
Type: Internship or graduation project

Develop an Edge AI prototype that identifies enrolled users through facial and voice characteristics without relying on cloud processing. You will work with image, depth and audio data, investigate AI model options and use the processor’s NPU to evaluate identification accuracy, performance, privacy and security.

Reservation Display Application

Education level: Bachelor
Discipline: ICT / Software Engineering / Embedded Software
Type: Internship or graduation project

Develop an HMI application that displays the availability and reservation status of meeting rooms, lab tables and duration cabinets. You will investigate the available reservation interfaces, design a clear user interface and build a reliable application that provides current and upcoming reservation information.

RFID Access Control with ESD Verification

Education level: Bachelor
Discipline: ICT / Embedded Software / Electrical Engineering

Type: Internship

Develop an access-control system for ESD-protected areas at AME. The system will identify users through RFID, guide them through an ESD test and grant access only when the required conditions are met. You will also develop the supporting server and database for managing permissions and recording access attempts and test results.

Smart Data Systems for Engineering

Education level: Bachelor or Master
Discipline: ICT / Software Engineering / Data Engineering
Type: Internship or graduation project

Develop a data-enrichment pipeline that transforms component information from datasheets, databases and online catalogues into consistent, machine-readable records for AME’s PDM system. You will compare rule-based, AI-based and hybrid approaches and evaluate their accuracy, traceability, maintainability and suitability for engineering use.