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Carnegie Mellon University

Postdoctoral Fellow - Applied Machine Learning in Systems

Job Description

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

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What they do

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

$101,474 / year median in Virginia

+18% projected growth

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