After being ordered to the bench in 2015 (to give others a chance to participate as well), we made it back! The TU Wien – for the fifth time now – participates this year again in Google’s Summer of Code program with the loose interest group “Computational Science and Engineering at TU Wien”. Our group is composed of several departments of our university and thus offers students a diverse set of free open source projects to work on. By now, we can look back on a decent history: We have already participated in 2011, 2012, 2013, 2014 and so far supervised 40 international students with a great interdisciplinary team of university staff.
For this year, visit our org(anization) at the program website and checkout our project ideas. Selected students will have the excellent opportunity to enter an internationally highly visible student summer program, extend their programming skills, get in touch with open source development teams in the area of science and engineering, and on top of that Google will hand out USD 5 500 to each successful student. Interested students should get in touch with us via our mailing list as soon as possible to prepare their application material; submission deadline is March 25.
For us, the university, participating in the Google Summer of Code allows us to advance our open source code, which in turn is desperately needed to advance our science with a reasonable pace. We get access to highly motivated students who are eager to learn and bring new ideas and impulses to the table, which for obvious reasons is of great interest to us. It also allows us to spread the awareness about the importance of open source code for science and engineering and educate future research software engineers. This is what I call a win-win.
The Austrian media picked up on the topic as well – here are some links in German:
I am a computational scientist at the Institute for Microelectronics, TU Wien, where I currently hold a senior scientist position. I lead the Christian Doppler Laboratory for High Performance TCAD, where my team and I investigate high performance computing approaches for cutting-edge semiconductor process simulations. In general, my scientific interests are in the field of research software engineering for scientific computing, with a special focus on modular frameworks, algorithms and data structures as well as high performance parallel computing. My background and my current area of application is micro– and nanoelectronics.
