Explore funded PhD opportunities in Trustworthy Machine Learning under DAAD Scholarships in Germany. Advance your research career in a supportive environment.
Description
Have you ever thought about how to make machine learning (ML) more trustworthy? Or, maybe you’re interested in solving the privacy problems that arise as a result of large language or diffusion models trained on our data. And what about minimizing safety threats from models that give false predictions or generate offensive content? Finally, are you aware that you are fighting against bias and discrimination in ML?
Then, our SprintML Lab is the right place for you. In a team of diverse researchers from all over the world, we offer full-time, full-paid pure-research positions.
You need to bring:
- A bachelor/master’s in CS
- Strong background in ML (e.g. through university courses, internships, and practical projects)
- Strong coding skills in Python with PyTorch
- Excellent English communication skills
| Type of Position | Full PhD |
| Time Span | As soon as possible for 4 years |
| Application Deadline | 30 Sep 2024 |
| Financing | Yes |
| Working Language | English |
| Required Degree | Master, Bachelor |
| Areas of study | Applied Computer Science, Practical Computer Science, Statistics |
| Location | Saarbrücken, Germany |
Required Documents
- Motivation letter
- CV
- Certificates
- Transcripts
- Research expose
- References
