Our skills, expertise, and offerings
Comprehensive and well taught computational training is paramount for the astronomy community to harness the potential of the next generation telescopes and astronomy simulations. In the era of big telescopes and big data, data analysis practices need to scale to the volume of data processing and analysis needed for researchers to compete in a world-class arena.
Many undergraduate and postgraduate degrees in physics and astronomy do not offer modules on computing and current computational advancement, hence researchers at any level are mostly self-taught programmers. This proves to be a major problem when rigorous computational methods are required to ensure efficient and consistent processing and analysis of data.
Training provided by ADACS aims to teach astronomers important basic computing practices, as well as offer them content on new computational advances that could prove to be vital in future data analysis.
Our main streams of delivery are face-to-face and online. Please have a look at the respective pages to learn more and connect with the content.
Astronomer Skills Profile
ADACS is currently putting together a skills tree of astronomers at various career stages, with the aim to map out the associated learner journey.
This will help identify where on this learner journey ADACS currently provides training and which future training we should focus on developing/providing.
Participation in this survey is completely voluntary and confidential. No personal data will be shared.
However, the outcome of this survey, i.e., the skills tree and learner journey, will be made available via the ADACS webpage.
On the right is an average computing skills/confidence profile for a PhD student.
To help us build up the skills profile of astronomers at different career stages, please consider filling out our survey.