Automated source code summarization is a popular software engineering
research topic wherein machine translation models translate code snippets into
relevant natural language descriptions. This project aims to design and
implement new models for source code summarization using two techniques: (i)
transformers and (ii) graph neural networks.
Start Time: January 2022
Scope: 30 hp
Location: RISE Computer Science, Kista, Stockholm
Application Deadline: December 15, 2021
Who are you?
A good understanding of Machine Learning and a desire to learn more about
Artificial Intelligence is required. We expect you to have good programming
skills and have previous experience with either Tensorflow or Pytorch.
Welcome with your application!
If this sounds interesting and you would like to know more, please contact
Amir H. Payberah, +46725544011. Candidates are encouraged to send in their
application as soon as possible but at the latest December 15, 2921. Suitable
applicants will be interviewed as applications are received.
We offer a 12-month postdoc position in the team Polsys 0 of LIP6 (Sorbonne
Université, Paris) 1, supervised by Jérémy Berthomieu 2 and Pierre Lairez 3,
The purpose is the application of methods from symbolic...