Xiaodong Yu
1 week ago
PhD Openings in MLSys, High-Performance Data Reduction for AI, and Heterogeneous Distributed AI Infrastructure at Stevens Institute of Technology Stevens Institute of Technology in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The APECS Lab will provide full financial support and access to extensive computing resources for the selected PhD students.
Country
United States
University
Stevens Institute of Technology

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About this position
PhD openings in MLSys at Stevens Institute of Technology
The APECS Lab in the School of Computing at Stevens Institute of Technology is recruiting two PhD students for Spring 2027 or Fall 2027. The research focus is Machine Learning Systems (MLSys), with two topic areas: High-Performance Data Reduction for AI and Heterogeneous Distributed AI Infrastructure.
Applicants should have a Bachelor’s or Master’s degree in a computing-related field. Prior research experience in computing and/or a Master’s degree is considered a plus, but is not required. For the data reduction topic, a solid mathematical foundation is expected.
The position is fully funded, and the lab also provides access to extensive computing resources for cutting-edge research.
To apply, email [email protected] with your preferred research topic and intended starting semester in the subject line, a brief self-introduction in the email body, and your latest CV attached. The post asks applicants not to message on LinkedIn.
This opportunity is relevant for students interested in computer science, machine learning systems, distributed systems, high-performance computing, AI infrastructure, and data reduction.
Funding details
The APECS Lab will provide full financial support and access to extensive computing resources for the selected PhD students.
What's required
Applicants should have a Bachelor’s or Master’s degree in a computing-related field. Prior research experience in computing and/or a Master’s degree is a plus but not required. For the High-Performance Data Reduction for AI topic, a solid mathematical foundation is expected.
How to apply
Email Xiaodong Yu at [email protected] with your preferred research topic and intended starting semester in the subject line, a brief introduction in the email body, and your latest CV attached. Do not message on LinkedIn.
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