Internship - Dynamic Circuit Modeling Tool at NXP Semiconductors
Eindhoven, Noord-Brabant, Netherlands -
Full Time


Start Date

Immediate

Expiry Date

25 Jul, 25

Salary

0.0

Posted On

25 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Electrical/Electronic Manufacturing

Description

The goal of this internship is to develop a tool that can automatically generate behavioral model(e.g. using state-space equations) from electronic circuits (e.g. using circuit netlist from EDA tools), including circuits with switching components. This tool will enhance the analysis and simulation of electrical circuits by converting circuit descriptions into behavioral models in automated way. Modelling should account for Complexity of Switching Components, Non-linearities and Time-Varying Elements.

  • Literature Review : Conduct a study of existing methods for generating behavioral models from circuit netlists.
  • Algorithm Development and Tool Implementation : Design and implement an algorithm to generate models, and subsequently develop a tool using MATLAB, Python, or C++.
  • Testing and Validation : Test the tool against analog simulations to ensure accuracy and robustness.
  • Documentation : Document the results comprehensively and present findings to the team
Responsibilities

The goal of this internship is to develop a tool that can automatically generate behavioral model(e.g. using state-space equations) from electronic circuits (e.g. using circuit netlist from EDA tools), including circuits with switching components. This tool will enhance the analysis and simulation of electrical circuits by converting circuit descriptions into behavioral models in automated way. Modelling should account for Complexity of Switching Components, Non-linearities and Time-Varying Elements.

  • Literature Review : Conduct a study of existing methods for generating behavioral models from circuit netlists.
  • Algorithm Development and Tool Implementation : Design and implement an algorithm to generate models, and subsequently develop a tool using MATLAB, Python, or C++.
  • Testing and Validation : Test the tool against analog simulations to ensure accuracy and robustness.
  • Documentation : Document the results comprehensively and present findings to the team.
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