From time to time, project openings will be posted here by supervisors interested in seeking students.

You can seek out a project yourself - you do not need to wait for a project to be posted here.

Investigating whether software debloating or container debloating can reduce carbon footprint.
- Supervisors: Mohannad Alhanahnah and Gregory Gay
- If interested, e-mail ggay@chalmers.se. Include any relevant prior experience in this area.
Using augmented reality (AR) and virtual reality (VR) to visualize and explore software and testing data
- Supervisor: Gregory Gay
- If interested, e-mail ggay@chalmers.se. Include any relevant prior experience in this area and any preliminary ideas you think would be interesting to explore.
Exploring how environmental researchers select data in ML-supported research with large, multi-modal environmental datasets.
- The idea of this project is to investigate through an initial literature research and a later field study how environmental researchers select data when training machine learning models with large, multi-modal environmental datasets. We will first investigate in publications reporting results of ML-supported environmental science how researchers argue for the selection of their training data. In a next step, we will conduct a survey or interview study to understand the criteria they apply when selecting data and what challenges they face when doing so.
- Supervisor: Hans-Martin Heyn (hans-martin.heyn@gu.se)