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Senior Computational Materials Scientist

vor 1 Monat


Wien, Wien, Österreich Institute for Microelectronics, TU Wien Vollzeit
Develop Innovative Computational Frameworks for Semiconductor Device Simulation

We are seeking an experienced professional to design and develop advanced computational frameworks and models for the simulation of semiconductor-based devices. The ideal candidate will have expertise in Monte Carlo simulations, device TCAD, geometrical modeling, and problem-solving in semiconductor device physics.

This role involves collaborating with global leaders in the microelectronics industry and scientific software development. You will work on developing geometrical models and solutions to emulate complex problems in semiconductor device physics, as well as contribute to the advancement of programming skills in C++ and/or Python.

Key Responsibilities:
  • Design and implement novel computational frameworks for semiconductor device simulation
  • Collaborate closely with experts in the field to advance research and development in microelectronics
  • Contribute to the development of advanced programming skills in C++ and/or Python
  • Work on implementing third-party (scientific) libraries for efficient computation
Requirements:
  • Masters Degree in Computational Science, Electrical Engineering, Physics, Applied Mathematics, or equivalent studies
  • Advanced programming skills in C++ and/or Python
  • Experience in utilizing third-party (scientific) libraries for efficient computation
  • Background in computational material science is a plus
  • Familiarity with GNU/Linux operating system
What We Offer:

This position comes with a competitive salary estimated at 60,000 EUR per annum, which reflects the value we place on our employees' skills and experience. Additionally, you can expect to work in a dynamic and collaborative environment that fosters growth and professional development opportunities.

Institute for Microelectronics, TU Wien offers its employees a range of benefits, including ongoing training and professional development opportunities, making this a great opportunity for those looking to grow their careers in the field of computational materials science.