Canonical is Funding a PhD to Automate C to Rust Translation
An anonymous reader shared this report from the blog It's FOSS:
Canonical has committed funding to a three-year PhD project focused on building a system that can automatically translate large C codebases into Rust. And they are not alone; UK Research and Innovation is matching their funding for the project, which is set to run through the University of Bristol's Programming Languages Research Group.
The PhD is aiming to build an all-encompassing platform that can take a C repository running into hundreds of thousands of lines and translate it into Rust that's "safe, behaviourally correct and maintainable Rust."
The work will be carried out by a student, Alex Wood, who will be supported by Professor Meng Wang leading the work, with Dr. Cristina David and Canonical's Jon Seager serving as co-supervisors.
Canonical has committed funding to a three-year PhD project focused on building a system that can automatically translate large C codebases into Rust. And they are not alone; UK Research and Innovation is matching their funding for the project, which is set to run through the University of Bristol's Programming Languages Research Group.
The PhD is aiming to build an all-encompassing platform that can take a C repository running into hundreds of thousands of lines and translate it into Rust that's "safe, behaviourally correct and maintainable Rust."
The work will be carried out by a student, Alex Wood, who will be supported by Professor Meng Wang leading the work, with Dr. Cristina David and Canonical's Jon Seager serving as co-supervisors.
Read more of this story at Slashdot.
FIP XML/RSS/RDF Newsfeed Syndication https://freeinternetpress.com/rss.php
© 2026 FreeInternetPress.com
Free Internet Press is licensed under a Creative Commons Attribution 3.0 United States License. You may reuse or distribute original works on this site, with attribution per the above license. Any mirrored or quoted materials may be copyright their respective authors, publications, or outlets, as shown on their publication, indicated by the link in the news story. Such works are used under the fair use doctrine of United States copyright law. Should any materials be found overused or objectionable to the copyright holder, notification should be sent to [email protected], and the work will be removed and replaced with such notification.
Please email [email protected] with any questions.