vor 14 Tagen
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Studentische Hilfskraft - Multi-Trigger Resist Model Optimization
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Einführung
Die Fraunhofer-Gesellschaft bietet dir die Möglichkeit, als studentische Hilfskraft spannende Einblicke in die Forschung zu gewinnen und an innovativen Projekten im Bereich der Halbleitertechnologie und Leistungselektronik mitzuarbeiten.
Aufgaben
- Enhance the performance of the existing resist model through multi-threading of the main reaction steps
- Convert existing Python code to C++ code to improve the execution speed and efficiency
- Identify, troubleshoot, and resolve issues within the code to ensure accuracy and reliability
- Maintain comprehensive documentation of the code modifications and optimization processes
- Work closely with the research team to integrate optimized code into larger simulation frameworks
Voraussetzungen
- Enrolled in a Master’s program in computer science, electrical engineering, physics, computer science, mathematics, mechanical engineering or related fields
- Proficiency in Python and C++ with an emphasis on object-oriented programming (OOP) is essential
- Understanding of lithography, materials simulation and polymer physics is highly desirable
- Ability to work independently and possess strong analytical and problem-solving skills to debug complex code
- Good command of written and spoken English
Benefits
- Insight into exciting research projects
- Cutting-edge research thanks to top technical equipment
- Practical relevance through interesting and varied project work in innovative and dynamic teams
- An international working environment
- Personal development opportunities
- Good career prospects as a springboard into various career directions (universities, industry, other research institutions, etc.)
- Flexibility in the organization of working hours and thus optimal compatibility of studies and practice
- Proximity to campus
vor 14 Tagen
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