Postdoctoral Fellow - Applied Machine Learning in Systems
Carnegie Mellon University: Qatar
Location: Networking Systems Lab - Carnegie Mellon University in Qatar
Description:
The Networking Systems Lab at Carnegie Mellon University in Qatar invites applications for a full-time postdoctoral research position in the area of applied machine learning in systems. This position is supported by a research grant awarded by the Qatar National Research Fund (QNRF) and will be jointly supervised by Prof. Khaled Harras and Prof. Moustafa Youssef. The successful candidate will be expected to relocate to CMU's Qatar campus in Doha prior to January 1st.
Responsibilities
- Conduct high-quality research aligned with the project's vision
- Design, implement, and evaluate prototype systems and solutions
- Supervise and mentor junior researchers and students involved in the project
This is an excellent opportunity to work on cutting-edge problems at the intersection of systems and AI within a highly collaborative and resource-rich environment. In addition, CMU Qatar's benefits package is highly attractive, with salaries comparable to those in the US, but free of tax. Relocation, housing, transportation, and health benefits are also covered.
Qualifications:
We are seeking candidates who:
- Hold a Ph.D. in Computer Science, Electrical and Computer Engineering, or a related field
- Have a strong research background in machine learning, systems, and/or networking
- Demonstrate a track record of publishing in high-quality venues
- Are motivated to grow their independent research portfolio in an interdisciplinary and international setting
