PhD Student in Machine Learning: Chalmers University invites applications for a fully funded 4-year PhD position (with possible extension) in Machine Learning for Information/Communication Technology. The project explores innovative ways to transform fiber-optic networks into a global sensing network, capable of detecting real-time environmental changes, disasters, and infrastructure vulnerabilities.
Summary Table:
| Position | PhD Student in Machine Learning for Information/Communication Technology |
|---|---|
| Duration | 4 years (plus possible extension) |
| Supervisors | Assist. Prof. Christian Häger, Prof. Erik Agrell, Prof. Magnus Karlsson |
| Funding | Fully funded |
Study Area:
The study area encompasses the integration of communication theory, machine learning, and photonics to enhance fiber-optic networks for real-time environmental monitoring. The focus is on developing theoretical models, signal-processing algorithms, and utilizing machine learning to optimize communication performance and sensing accuracy.
Scholarship Description:
PhD Student in Machine Learning for Information/Communication Technology
The PhD candidate will contribute to the emerging research area of integrated communication and fiber sensing. Responsibilities include developing theoretical models, exploring signal-processing algorithms, and applying machine learning techniques. The project aims to simultaneously support high-speed data transmission and advanced polarization sensing in fiber-optic networks.
Eligibility:
- Master’s degree in electrical engineering, computer science, applied mathematics, or related fields
- Strong background in digital communications, machine learning, and mathematics
- Knowledge of digital communication systems and signal processing
- Excellent communication and presentation skills in English
- Interest in pursuing research, independent thinking, and creativity
- Desirable: Experience in implementing and simulating communication systems, fiber communication or sensing, and previous research, publication, and teaching experience
Required Documents:
- CV
- Personal letter
- Copies of Bachelor’s and/or Master’s theses
- Master’s transcripts and degree certificates
- Bachelor’s transcripts and degree certificates
- Other relevant certificates (e.g., TOEFL test results)
- Two references
How to Apply:
Submit your application through the online application form by the deadline of 2024-03-03. Do not send applications via email.
Last Date: 2024 March 03
For questions, contact: Christian Häger, E2,
christian.haeger@chalmers.se (This email address is for questions only. Please do not email your CV or any other application documents)
