Research Assistant (PhD) in Computational Science, 40h

Research Assistant (PhD) in Computational Science, 40h

Research Assistant (PhD) in Computational Science, 40h

Research Assistant (PhD) in Computational Science, 40h

Institute for Microelectronics, TU Wien

Forschung

Wien

  • Verifizierte Job-Anzeige
  • Art der Anstellung: Vollzeit
  • 46.000 € (Unternehmensangabe)
  • Vor Ort
  • Zu den Ersten gehören

Research Assistant (PhD) in Computational Science, 40h

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Über diesen Job

Research Topic: Development of computational frameworks and models for process simulation of semiconductor-based devices

About us: The Institute for Microelectronics is a globally recognized research institute in the field of micro- and nano-electronics. We cover all aspects of analyzing and investigating microelectronic devices, both experimentally and theoretically. This includes studying the relevant materials down to the atomistic level (e.g. DFT, MD), simulating and modeling the fabrication of complex geometries (e.g. process TCAD), and studying the operation and reliability of advanced nano-sized devices (e.g. Monte Carlo simulations and/or device TCAD).

Tasks

Description: The subject of the available position is the further development of a computational framework and models for the simulation and emulation of the processes applied during the fabrication of semiconductor devices. This includes developing simulation strategies which include physical, empirical, and machine learning models to emulate processes such as deposition and etching of semiconductor materials. The candidate will be expected to develop geometrical models and solutions to emulate complex problems in semiconductor device physics while collaborating closely with global leaders in the microelectronics industry and scientific software development.

A Master’s Degree in Computational Science, Electrical Engineering, (Technical) Physics, Applied Mathematics, or equivalent studies is required.

Requirements

For the available positions, considerable interest and existing in-depth knowledge in one or more of the following areas are essential to complement our team:

  • Advanced programming skills in C++ and/or Python is a must
  • Experience in utilizing third-party (scientific) libraries
  • Background in computational material science is a plus
  • Familiarity with GNU/Linux
  • Team player, eager, and reliable
  • Proactive and self-reliant
  • Good knowledge of written and spoken English

Benefits

This position is subject to the collective agreement of the TU Wien for scientific workers and employees, employment group B1. The monthly salary is paid 14 times p.a. and the gross salary is approximately 46,000.00 EUR.

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