About the Research Software Developers Network

Is part of your role developing software or electronic data for research, in any academic discipline? Would you like to meet others like you, share experiences, and learn from each other? Would you like help finding similar roles when your current contract ends? If you answered “yes” to any of these questions, then the RSDN is for you.

Or are you a researcher or manager who needs help with software development for a project? Would you like somewhere to go for informal expert advice? Do you struggle to recruit people with the skills you need? Would you like access to a pool of talented individuals already employed by the University? If so, then the RSDN can help you.

We welcome involvement from all interested in these topics, in all parts of the University, whether you are a graduate student, or academic or support staff. Register to get the most out of this site and join the network.


ARC courses for programmers

The ARC team will be running courses for those people writing their own codes to use the ARC machines - and indeed other high performance clusters that you may have access to, the material is designed to not be ARC specific.

Two courses cover methods in compiled languages such as C, C++ or Fortran, while the one covers effective use of Python.

The first two courses are aimed at those using C, Fortran or C++, and assume a working knowledge of at least one of those languages. The first of these runs next Tuesday and details are as follows:


Courses in Software Engineering at the University of Oxford

The University of Oxford's Software Engineering Programme offers short courses in a variety of subjects. These courses may be used as credit towards a Masters' degree (MSc) in Software Engineering from the University of Oxford. Applications are welcome from anyone with an appropriate combination of academic achievement and industrial experience; a first degree in a related discipline may be useful, but is by no means necessary.


IEA Software development for scientists L1

Learn best practice programming techniques for engineers and scientists with hands-on learning through practical exercises

If you write routines and scripts to manipulate or display data, the Software Development for Scientists course, delivered by the Institute for Environmental Analytics (IEA) will enable you to learn best practice programming techniques to write elegant and reusable code. You may be from any numerate discipline that requires coding, from maths and geography to biology, environmental science or meteorology.