PhD Student in Machine Learning: Join a fully funded 4-year PhD position in Machine Learning for Information/Communication Technology at one of Europe’s leading technical universities. Work on a cutting-edge project leveraging fiber-optic networks as a global sensing network for real-time environmental monitoring. The project involves collaboration with renowned experts and offers international research opportunities. Chalmers provides a dynamic, supportive, and diverse research environment with competitive benefits.
Designation: PhD Student
Research Area: Machine Learning for Information/Communication Technology
Location: Chalmers University of Technology, Gothenburg, Sweden
Eligibility/Qualification:
- Master’s degree (or equivalent) 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
- Strong interest in pursuing research, independent, curious, and creative
Desirable:
- Experience in implementing and simulating communication systems
- Courses and experience in fiber communication or sensing
- Previous research, publication, and teaching experience
Swedish language skills are not required.
Job Description:
PhD Student in Machine Learning for Information/Communication Technology
As a PhD student, you will conduct cutting-edge research in the integrated field of communication and fiber sensing. Develop theoretical models capturing the impact of environmental changes on optical channels. Explore signal-processing algorithms supporting high-speed data transmission and advanced polarization sensing. Contribute to the application of machine learning techniques to optimize communication performance and sensing accuracy. Responsibilities include independent research, teaching, and departmental duties (up to 20% full time).
How to Apply: Submit your application form and attachments through the online application portal. Required attachments include:
- CV detailing educational and professional background, awards, teaching experiences, and references
- Personal letter introducing yourself, describing relevant experiences, and outlining future goals and research focus (1-2 pages)
- Copies of Bachelor’s and/or Master’s theses
- Transcripts and degree certificates for both Bachelor’s and Master’s degrees
- Other relevant certificates, e.g., TOEFL test results
Application Deadline: 03 March 2024
Disclaimer: This job post is based on information obtained from a reliable source. For further details and application instructions, please check the official Chalmers University of Technology website.
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)
Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position.
