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Internship Computer Science Graduate Jobs in Bryan, TX

Tamus

Research Engineer II - Data Visualization

Bryan, TX · On-site

$4.6K - $7.9K/mo

... interns, and junior engineers. - Support field testing and experimentation activities as required. - Perform other duties as assigned. Qualifications: - Bachelor's degree in Computer Science, Data ...

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Internship Computer Science Graduate information

What does an internship computer science graduate do?

An Internship Computer Science Graduate typically works in a temporary position within a company, applying their academic knowledge to real-world projects. Their responsibilities can include assisting with software development, testing code, troubleshooting technical issues, and collaborating with teams on various IT or computer science-related tasks. This role helps graduates gain practical experience, build professional networks, and enhance their skills for future full-time employment in the tech industry.

What are the key skills and qualifications needed to thrive as an internship computer science graduate?

To thrive as an Internship Computer Science Graduate, you need a solid understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and typically a bachelor's degree or enrollment in a computer science program. Familiarity with version control systems like Git, integrated development environments (IDEs), and issue tracking tools is often expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help you stand out. These competencies are crucial for contributing to real-world projects, adapting to fast-changing technologies, and collaborating within professional engineering teams.

What types of projects and tasks can I expect to work on during an internship computer science graduate position?

As a Computer Science graduate intern, you'll typically work on real-world projects such as software development, bug fixing, testing, or assisting with research and data analysis. Many internships offer opportunities to contribute to codebases, participate in code reviews, and collaborate closely with experienced developers, designers, and product managers. The tasks assigned are designed to build your technical and problem-solving skills while exposing you to industry-standard tools and workflows. You'll likely have regular check-ins with mentors and team members to support your learning and growth throughout the internship.

What is the difference between Internship Computer Science Graduate vs Entry-Level Software Developer?

AspectInternship Computer Science GraduateEntry-Level Software Developer
Required CredentialsRecent CS degree or in progressBachelor's in CS or related field
Work EnvironmentTemporary, training-focused, often in tech companies or startupsFull-time, ongoing role in software development teams
Employer & Industry UsageInternships offered by tech firms, startups, and universitiesEmployers seeking new graduates for entry-level positions

In summary, an Internship Computer Science Graduate is a temporary, training-focused position aimed at gaining practical experience, while an Entry-Level Software Developer is a full-time role with ongoing responsibilities in software development. Internships often serve as a stepping stone to full-time positions like software developer roles.

What cities near Bryan, TX are hiring for Internship Computer Science Graduate jobs?

Cities near Bryan, TX with the most Internship Computer Science Graduate job openings:

Internship Computer Science Graduate jobs near you

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

Huntsville, TX • On-site

LEMIT - Bill Blackwood Law Enforcement Management Institute of Texas
See more jobs at LEMIT - Bill Blackwood Law Enforcement Management Institute of Texasexternal

Full-time

Re-posted 10 days ago

Job description

Job Summary:
LEMIT - Bill Blackwood Law Enforcement Management Institute of Texas 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 core research thrusts related to secure IoT systems, conducting experimental validation, and collaborating on innovative security mechanisms.
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.
Qualifications:
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.
• 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.
• Due to project requirements, this position is open only to U.S. Citizens or U.S. Permanent Residents.
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:
Created by the Texas Legislature in 1989, LEMIT is one of the largest and most sophisticated statewide preparation program for police management in the United States and is nationally recognized for its initiatives to develop the administrative, analytical, and executive skills of current and future law enforcement officials. Founded in 1989, the company is headquartered in Huntsville, USA, with a team of 2-10 employees. The company is currently Early Stage.

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