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Master Thesis: Source Code Summarization

Thesis Description
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.

Positions: 2
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.

Master thesis, machine learning, software engineering, research, RISE, Kista

About the position



Contract type

Temporary position 3-6 months

Job type

Student - Master Thesis/Internship

Contact person

Amir Payberah

Reference number


Last application date


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