Master Thesis - Thermo-Mechanical Fatigue in Cu: Pulse Design and Data Eval at Infineon Technologies AG Australia

Villach, Carinthia, Austria -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Programming, Python, LabVIEW, Thermo-Mechanical Fatigue, Data Evaluation, Synchrotron X-Ray Diffraction, Scanning Electron Microscopy, Method Development, Teamwork, Problem-Solving, Materials Science, Physics, Computer Science, Mechanical Engineering

Industry

Semiconductor Manufacturing

Description

Within this project at KAI the thermo-mechanical fatigue of Cu power metallization will be analyzed. To achieve this, a pulse generator which tailors the profile of the applied electrical pulses needs to be implemented into an existing setup. Additionally, a python-based evaluation workflow should be optimized to perform data processing and evaluation of synchrotron X-ray diffraction data. Education: Pursuing a Master's degree in Materials Science, Physics, Computer Science, or Mechanical Engineering, having finished study exams and ready to start working on the thesis Technical Skills: Knowledge and experience in programming via Python and/or LabVIEW Language Skills: Fluency in English and/or German Problem-Solving: Hands-on mentality with a strong ambition for method development and bringing ideas to life Teamwork: Ability to work effectively with an international team We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Knowledge Acquisition: Learn about the concepts of thermo-mechanical fatigue testing, programming via Python and LabVIEW, and the basics of scanning electron microscopy (SEM) System Development: Use LabVIEW and Python programming to implement a new power switching setup into the current thermo-mechanical fatigue test system Research and Analysis: Study the impact of different pulses on the thermo-mechanical fatigue of Cu metallization via SEM characterization, and advance an existing Python-based evaluation workflow to evaluate time-resolved X-ray diffraction data Documentation and Thesis: Document results by writing and submitting a Master's thesis

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Responsibilities

Analyze the thermo-mechanical fatigue of Cu power metallization and implement a pulse generator for electrical pulse profiling. Optimize a Python-based evaluation workflow for processing synchrotron X-ray diffraction data.