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Temporary Recent Computer Science Graduate Jobs in Texas

Lamar University

Adjunct, Computer Science

Beaumont, TX · On-site

Exempt Job Summary Adjunct instructors are temporary, part-time instructors assigned to one or more ... The Computer Science department prepares its students for professional employment and graduate ...

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Temporary Recent Computer Science Graduate information

What are the essential skills and qualifications needed to excel as a Temporary Recent Computer Science Graduate, and why do they matter?

To thrive as a Temporary Recent Computer Science Graduate, you typically need a strong grasp of programming languages, algorithms, and software development principles, supported by a relevant computer science degree. Familiarity with tools such as Git, IDEs, basic databases, and possibly cloud platforms or project management software is often expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork or communication skills help candidates stand out. These competencies enable graduates to quickly adapt, contribute effectively to projects, and build a foundation for long-term career growth.

What types of projects or tasks can a Temporary Recent Computer Science Graduate expect to work on during their assignment?

As a Temporary Recent Computer Science Graduate, you can expect to work on a variety of entry-level technical tasks such as debugging code, assisting in software development, conducting quality assurance testing, and supporting data analysis efforts. These assignments often provide the opportunity to collaborate with experienced software engineers and IT professionals, allowing you to learn industry best practices and workflows. The work environment is typically fast-paced, with clear short-term goals and mentorship available, making it an excellent stepping stone for gaining practical experience and expanding your professional network.

What does a Temporary Recent Computer Science Graduate do?

A Temporary Recent Computer Science Graduate typically works on short-term projects or contracts in areas such as software development, IT support, data analysis, or quality assurance. They apply the skills and knowledge gained during their studies to assist teams with coding, testing, troubleshooting, or other technical tasks. These positions help graduates gain practical experience, build their resume, and often serve as a stepping stone to permanent roles in the tech industry.

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

AspectTemporary Recent Computer Science GraduateIntern
CredentialsRecent CS degree or equivalentEnrolled student or recent graduate
Work EnvironmentTemporary project-based roles, entry-levelLearning-focused, supervised tasks
Employer UsageHiring for short-term projects or to evaluate potentialEducational experience, skill development

In summary, a Temporary Recent Computer Science Graduate is hired for short-term roles to apply their recent education, often with a focus on project completion. An intern is typically a student gaining practical experience, often under supervision, with a focus on learning and skill development.

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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What job categories do people searching Temporary Recent Computer Science Graduate jobs in Texas look for? The top searched job categories for Temporary Recent Computer Science Graduate jobs in Texas are:
Temporary 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 • On-site

Other

Posted 25 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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