PhD Student in Machine Learning: Explore the frontier of technology at one of Europe’s premier technical universities! A fully funded 4-year PhD position awaits, delving into the fusion of machine learning and artificial intelligence with the global fiber-optic cable infrastructure. Supervised by Assist. Prof. Christian Häger, in collaboration with distinguished Prof. Erik Agrell and Prof. Magnus Karlsson, this project aims to transform the Internet backbone into a powerful global sensing network. Seize the opportunity for groundbreaking research, international collaboration, and a stimulating working environment.
Table:
| Designation | Research Area | Location |
|---|---|---|
| PhD Student | Machine Learning for Information/Communication Tech | Gothenburg, SE |
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.
- Independent, curious, and creative.
Job Description:
PhD Student in Machine Learning for Information/Communication Technology
- Perform cutting-edge research, formulate research questions, and develop strategies for solving them.
- Develop scientific concepts and communicate research results in major journals and conferences.
- Teach at the undergraduate and M.Sc. level, with other departmental duties up to 20% full time.
- Contract terms: Full-time temporary employment, limited to a maximum of five years.
How to Apply:
- Complete the online application form (use the button at the bottom of the page) and attach the following PDF files (not Word or Zip):
- CV
- Educational and professional background, awards, teaching experiences, other qualifications.
- Personal letter (1-2 pages): Brief introduction, relevant experience, future goals, and research focus.
- 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 that can be contacted.
- Deadline for application: March 3, 2024.
Last Date for Apply: 03 March 2024
Disclaimer: This job post is sourced from a reliable channel. Applicants are advised to check details and updates on the official Chalmers University of Technology website for the most accurate and current information.
