What you will do:

The daily work of a Product Owner at Ericsson consists of activities like reading up on new technology, understanding new business needs/requirements, understanding the current status of the system, writing technical investigations, calling for reviews and decision meetings, presenting proposed implementation to development teams doing the actual coding, following-up on the progress of the work, etc. We believe that these tasks presents many opportunities for increasing efficiency and development speed by leveraging GenAI technology.

The following steps are envisioned as part of the thesis work:

• Conduct interviews and observations to map out the daily tasks of Product Owners.
• Identify activities which could be made more efficient leveraging GenAI technology. Preferable tasks that are carried out often.
• Automate (completely or partly) at least two of the identified activities by the use of GenAI technology. This could be done using Python code, leveraging available GenAI machine interfaces for interacting with large language models (LLMs).
• Use time-tracking and/or qualitative assessments to measure efficiency improvements.
• Identify good candidates for future automation/assistance efforts which could benefit from utilizing GenAI technology.
• The thesis will be concluded with a result/findings presentation for the Ericsson research team.

The skills you bring:

This project is intended for bachelor or masters students in computer science, computer engineering, or related fields. The work involves fundamental programming, most likely in Python, and will utilize machine interfaces to access large language models.

Extent: 1-2 students, 15-30hp each, depending on if it is a Bachelors or Masters
Location: Ericsson AB, Karlskrona

The ad is open until the end of October, but please apply as soon as possible as the hiring process is ongoing.