The Christian Doppler Laboratory for High Performance TCAD at the Institute for Microelectronics, TU Wien highly motivated individual for an open PhD student / research assistant position (3 years, 40 hours/week) as a computational scientist focusing on devising a high performance data structure specifically tailored to the requirements of semiconductor fabrication process simulations by utilizing modern parallel shared-memory multi- and many-core computing platforms.
This open position is a research position and as such the student will have plenty of scientific freedom to achieve the desired goals. No lecturing duties are expected from the student; however, upon interest and availability, the student may co-supervise bachelor’s and master’s thesis projects.
The candidate is expected to be a team player, eager, proactive, and self-reliant. The candidate is further expected to enter TU Wien’s doctoral programme, present research findings at international conferences (for which funding is available) as well as to publish in international journals. Excellent command of written and spoken English (our working language) is a must. The workplace will be located in the heart of Vienna at the Institute for Microelectronics, TU Wien.
Desired Skills and Experiences
The candidate must be skilled in developing C++ code on Linux. In particular, we are looking for someone who enjoys developing scientific, numerical software. Previous experience in this area as well as with parallel programming (e.g. OpenMP) is a plus. Previous exposure to semiconductor fabrication physics is not required.
This position is subject to the collective agreement of TU Wien for workers and employees, employment group B1. The monthly salary is paid 14 times p.a. and the gross annual salary is approximately EUR 39 060.
The position will remain open until filled. The actual start date can be negotiated.
Please send a detailed CV to Josef Weinbub (firstname.lastname@example.org). There is no particular deadline for submitting an application and it will be assigned on a first come – first serve basis.