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What is the difference between Summer Recent Computer Science Graduate vs Summer Software Intern?

AspectSummer Recent Computer Science GraduateSummer Software Intern
CredentialsRecent CS degree or courseworkEnrolled in or recent graduate of CS program
Work EnvironmentTemporary, project-based, team collaborationHands-on coding, mentorship, project tasks
Employer & Industry UsageTech companies, startups, research labsTech firms, software companies, IT departments
Search & Comparison IntentUnderstanding entry-level opportunities for CS gradsExploring internship roles for aspiring software developers

Summer Recent Computer Science Graduates typically are students or recent grads seeking initial industry experience, focusing on learning and skill development. Summer Software Interns are actively engaged in coding projects, often with mentorship, aiming to gain practical software development skills. Both roles are common in tech industries but differ mainly in experience level and purpose.

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Infographic showing various Summer Recent Computer Science Graduate job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.

Graduate Employee- Dept of Computer Science- Graduate Research Assistant (2 Positions Available)

Employment @ Sam Houston State University

Huntsville, TX

Other

Re-posted 8 days ago

Job description

Posting Information
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 Hiring Rate 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 Overview
We 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 Responsibilities
Selected 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 Qualifications
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).
Open Date 08/06/2025 Position Number 9N9891-00
Contact Information
Contact Name & Title Qingzhong Liu Contact Phone 936-294-3569 Contact Email qxl005@shsu.edu Contact Building & Room # AB1 216D Contact Fax Contact Instructions Summary
please send questions concerning this post to: qxl005@shsu.edu
EEO Statement
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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