/Development of nanosecond time resolved characterization system to study switching dynamics in state-of-the-art semiconductor devices

Development of nanosecond time resolved characterization system to study switching dynamics in state-of-the-art semiconductor devices

Master projects/internships - Leuven | More than two weeks ago

Use your python programming skills to study MRAM switching dynamics on a nanosecond time scale 

What you will do

State-of-the-art electronic devices are improving every day. Advanced memory cells used in SRAM, DRAM, Flash and emerging memory technologies like MRAM, RRAM require in-depth understanding. New type of characterization techniques are required to study the switching mechanisms in these devices. The main target of this project is to develop software in Python to communicate with advanced characterization equipment. 
  
The main tasks are:

  1. Understanding the target application of time resolved measurements
  2. Rewriting and optimizing existing software written in labview (to Python)
  3. Develop new scripts for more advanced measurements

Who you are

  • You have excellent programming skills in Python.
  • You are an engineer or computer scientist
  • You are available for 3 months. 
  • Good written and verbal English skills.
  • Motivated, good communicator, easy collaborator, and eager to work independently.

 
Type of Project: Internship 

Master's degree: Master of Engineering Technology; Master of Science; Master of Engineering Science 

Duration: 3 months 

Master program: Computer Science; Electrotechnics/Electrical Engineering 

Supervising scientist(s): For further information or for application, please contact Simon Van Beek (simon.vanbeek@imec.be)

Imec allowance will be provided.