Inside Higher Ed · 3 days ago
Graduate Employee- Dept of Computer Science- Graduate Research Assistant (2 Positions Available)
Sam Houston State University is seeking two highly motivated Graduate Research Assistants for an NSF-funded project focused on developing next-generation cybersecurity for the Internet of Things (IoT). The role involves contributing to research on secure ad hoc keys, protecting IoT systems, and integrating new sensing modalities into existing security systems.
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Responsibilities
Developing a novel framework for establishing secure ad hoc keys between IoT devices by leveraging indirectly correlated multimodal sensing data and unforgeable physical-domain randomness
Designing a framework to protect IoT systems (especially those using image/audio) against manipulated or spoofed sensor inputs
Using AI (e.g., cross-domain generative learning) to streamline and automate the integration of new sensing modalities (like new camera or audio streams) into existing security systems
Assisting in the design and development of a dedicated MSS testbed equipped with a wide range of sensors, including cameras and microphones
Conducting rigorous experimental validation of the proposed techniques
Analyzing data and preparing findings for publication in top-tier conferences and journals
Collaborating with faculty and other students, and contributing to the project’s broader impacts
Qualification
Required
Admitted to or currently enrolled in an M.S. or Ph.D. program in Computer Science, Computer Engineering, Electrical Engineering, or a related field
Due to project requirements, this position is open only to U.S. Citizens or U.S. Permanent Residents
Strong programming skills (e.g., Python, C/C++)
Solid understanding of fundamental computer science and engineering concepts
Strong analytical, problem-solving, and written/verbal communication skills
Preferred
Research interest or background in one or more of the following: Cybersecurity (encryption, authentication, network security, etc.), Internet of Things (IoT) systems, Wireless networking and/or mobile sensing
Direct experience with MULTIMEDIA processing (e.g., computer vision, OpenCV) and/or audio processing (e.g., digital signal processing, speech analysis)
Experience with machine learning, deep learning, or generative models, preferably with frameworks such as PyTorch, TensorFlow, or Keras
Hands-on experience with hardware prototyping (e.g., Raspberry Pi, Arduino, cameras, microphones)
Company
Inside Higher Ed
Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.
Funding
Current Stage
Growth StageTotal Funding
unknown2022-01-10Acquired
2006-08-31Series Unknown
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