About this position
Requisition:
202500409ST
Title:
Graduate Employee- Dept of Computer Science- Graduate Research Assistant (2 Positions Available)
Employee Class:
Student Employee
College Work Study Position:
No
Department:
Dept of Computer Science
Division:
Division of Academic Affairs
Hours per week:
20
Preferred Student Classification:
Admitted to or currently enrolled in an M.S. or Ph.D. program in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Nature & Purpose of Position:
Please note: Due to project requirements, this position is open only to U.S. Citizens or U.S. Permanent Residents.
Position OverviewWe are seeking two highly motivated Graduate Research Assistants to join an NSF-funded project focused on developing the next generation of cybersecurity for the Internet of Things (IoT) (10/2025 to 09/2027). This project addresses a critical security gap in mission-critical systems like smart cities, intelligent transportation, and defense. Our research will explore, develop, and prototype innovative security mechanisms based on multimodal sensing—the integration of multiple sensor types, with a particular focus on integrating image and audio data.
You will be at the forefront of research that intersects wireless networking, mobile sensing, and AI to enhance the protection of these vital systems.
Key ResponsibilitiesSelected candidates will contribute to one or more of the project’s three core research thrusts:MSS-KEY: 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.MSS-VAL: Designing a framework to protect IoT systems (especially those using image/audio) against manipulated or spoofed sensor inputs.MSS-AUG: 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.Additional responsibilities include: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.
Other Requirements for the Position:
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 QualificationsResearch interest or background in one or more of the following:Cybersecurity (encryption, authentication, network security, etc.)Internet of Things (IoT) systemsWireless networking and/or mobile sensingDirect 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).
Open Date:
08/06/2025
Position Number:
9N9891-00
Contact Name & Title:
Qingzhong Liu
Contact Phone:
936-294-3569
Contact Email:
qxl005@shsu.edu
Contact Building & Room #:
AB1 216D
Contact Instructions Summary:
please send questions concerning this post to: qxl005@shsu.edu
EEO Statement:
Sam Houston State University is an Equal Employment Opportunity Employer and Smoke/Drug-Free Workplace. All qualified applicants will receive consideration for employment without regard to race, creed, ancestry, marital status, citizenship, color, national origin, sex, religion, age, disability, or protected veteran status. The University takes seriously the initiative to ensure equal opportunity in the workforce and to comply with Title VII as interpreted by the U.S. Supreme Court.
Sam Houston State University is an “at will” employer. Employees with a contract will have additional terms and conditions. Security-sensitive positions at SHSU require background checks in accordance with Education Code §51.215.
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How to apply
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- Email the contact below with your CV and a short, specific message. See Emailing Professors.
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