You can join us for student projects or coding challenges and help us improve our data processing and analyses tools!
By working with KM3NeT, you will:
- Work on open-source software used by an international scientific community.
- Gain hands-on experience in scientific computing, data analysis, and machine learning.
- Be mentored by experts in physics, software engineering, and data science.
- Enhance your portfolio and contribute to groundbreaking research.
We welcome students with backgrounds in physics, computer science, engineering, or related fields. Below are some example projects that you could be involved in:
### 1. **Machine Learning for Neutrino Event Classification**
Develop and train machine learning models to distinguish neutrino events from background noise in KM3NeT data.
### 2. **Visualization Tools for Neutrino Events**
Create interactive 3D visualization tools to represent neutrino interactions and detector responses.
### 3. **Optimizing Monte Carlo Simulations**
Improve the efficiency of Monte Carlo simulations used for detector performance studies.
### 4. **Data Monitoring and visualization**
Develop web-based dashboards and monitoring tools for real-time data acquisition and analysis.
Improve the documentation of KM3NeT’s software frameworks to make it more accessible for new contributors.
### 5. **Creating LLM-based interface tools for open science**
Use the power of large-language-models to build interoperable scientific workflows.
## Get in Touch
If you have any questions or want to discuss your project ideas, feel free to contact us at [opendata@km3net.de](mailto:opendata@km3net.de). We also encourage you to explore our Software or follow us on social media:
@km3net at [X](https://x.com/km3net), [Facebook](https://www.facebook.com/KM3NeT), [Instagram](https://www.instagram.com/km3net) and [Bluesky](https://bsky.app/profile/km3net.bsky.social)
If you are a scientist interested in becoming a KM3NeT member, you can find more information on our website [km3net.org](https://www.km3net.org/about-km3net/collaboration/join-km3net/)