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Intern Recent Computer Science Graduate Jobs in Texas

Lamar University

Adjunct, Computer Science

Beaumont, TX · On-site

The Computer Science department prepares its students for professional employment and graduate education through study and implementation of the fundamental principles of theory, abstraction, and ...

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Intern Recent Computer Science Graduate information

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

AspectIntern Recent Computer Science GraduateSoftware Developer Intern
Required CredentialsRecent CS degree or equivalentRecent CS degree or equivalent
Work EnvironmentEducational, training-focused, entry-levelProfessional, team-based software development
Employer & Industry UsageTech companies, startups, research labsTech companies, software firms, startups
Search & Comparison IntentUnderstanding entry-level roles for recent gradsLooking for hands-on software development experience

The main difference is that an Intern Recent Computer Science Graduate typically refers to a role for recent graduates gaining foundational experience, often in educational or training settings. A Software Developer Intern is more focused on actual software development tasks within a professional environment. Both roles require a recent CS degree, but the former emphasizes learning and training, while the latter emphasizes contributing to real projects.

What are the most commonly searched types of Recent Computer Science Graduate jobs in Texas? The most popular types of Recent Computer Science Graduate jobs in Texas are:
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Intern Recent Computer Science Graduate jobs near you

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

Employment @ Sam Houston State University

Huntsville, TX

Other

Re-posted 28 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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