Summary
This scholarship seeks a motivated PhD candidate to explore the innovative integration of Deep Learning and Online Learning paradigms to enhance the performance and robustness of interconnected systems. The candidate will work within the context of the Marie Curie Doctoral Networks “FINALITY” at TU Delft.
PhD Position in Hybrid Safe Learning for Inter-Connected Systems, Delft, Netherlands
Designation
PhD Candidate
Table
| Details | Information |
|---|---|
| Research Area | Hybrid Safe Learning for Inter-Connected Systems |
| Location | Delft, Netherlands |
| Eligibility/Qualification | Master’s Degree in Computer Science, ML, Applied Mathematics, or related fields |
| Job Type | Full-time (38 hours/week) |
| Salary | €3059 – €3881 gross per month |
| Application Deadline | May 31, 2026 |
Research Area
The focus of the research will be on developing a robust hybrid learning framework that combines online and offline learning to address challenges in real-time, non-IID streaming data scenarios while ensuring safety in interconnected systems like 6G and Edge AI platforms.
Location
TU Delft, Department of Computer Science, Delft, Netherlands
Eligibility/Qualification
- Education: Master’s degree in Computer Science, Machine Learning, Operations Research, Applied Mathematics, or related fields.
- Bachelor’s degree in: Mathematics, Data Science, Computer Science, Electrical Engineering, or related fields.
- Skills:
- Knowledge of optimization techniques.
- Hands-on experience in data analysis (Python, etc.).
- Familiarity with Deep Learning libraries.
- Excellent command of written and spoken English.
Job Description
The candidate will:
- Develop algorithms combining online and offline learning.
- Ensure adaptability to unseen conditions and data.
- Work in collaboration with industry partners and domain experts.
- Contribute to achieving robust accuracy and performance guarantees for the developed algorithms.
How to Apply
Interested candidates should apply via the application button on the TU Delft website by submitting the following documents:
- Detailed CV
- Motivation letter (maximum 1 page)
- BSc and MSc Transcripts (list of courses and grades)
Last Date to Apply
May 31, 2026
For more detailed information or any inquiries regarding the position, please contact Prof. Georgios Iosifidis at G.Iosifidis@tudelft.nl.
