Supporting Students
Sponsorships, Internships, Awards & Careers
Fostering Student Talent for the Future
NAG actively encourages students all over the world in many ways including the sponsorship of PhD candidates, and by offering Student Placements, Internships and Work Experience positions. In fact, many NAG staff held student positions during their studies. In addition to this we recognise and reward exceptional student achievements via our Student Award Programmes and utlize Knowledge Transfer Partnership programmes to ensure that our academic collaborative roots continue into our future.
Student Award Winners
The NAG Student Award Programme was established to recognise and reward exceptional student talent. Programmes run at many learning institutions all over the world.
Student Placement Programme
NAG's Student Placement Programme gives students a years work placement within our company. It is a great opportunity to learn while working.
Does my place of learning have a licence for NAG products?
See if your University of learning institution has a NAG software licence in place so you can use it!
Careers at NAG
Learn of opportunities to work at the Numerical Algorithms Group and see the many benefits that NAG staff enjoy!
Technical Reports
Delve into our Technical Report Repository to read papers by NAG experts and collaborators covering a wide range of numerical subject areas that can help with project research.
The NAG Blog
News, views and insights from NAG staff and collaborators. The Blog offers technical tips so that users get the most from our products and services.
Training
NAG’s expert Training Courses are delivered by highly skilled and experienced practitioners in their fields. Material can be tailored to an organisation’s need or given to students and staff onsite.
Technical, Software and Services News
We round up our most interesting and informative technical and collaborative news stories and publish them direct to our subscribers every 6 weeks.
Learn more on our YouTube channel
If you would like to learn more about how your work would benefit from using the routines in the NAG Library, or how to use the NAG Compiler, do see the clips on our YouTube channel. From Time Series Modelling to examples of Global Optimization and Nearest Correlation Matrix there is lots to learn from. If you have a question to ask just email us or call.