Postdoctoral Fellow – Applied Machine Learning in Systems

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 Engineering, or a related field
• Have a strong research background in machine learning, systems, 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

Application Instructions

Candidates must submit their applications electronically at this link containing:

• CV
• Research statement
• Three (3) references

Equal Employment Opportunity Statement

Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information.  Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders. Consistent with this commitment, Carnegie Mellon will no longer be requiring or considering applicant diversity statements. If you are interested in this position and have not yet submitted a diversity statement, please do not do so. If you have already submitted a diversity statement, please know that any diversity statements submitted by applicants for this opportunity will not be considered in the hiring decision.