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Computer Science Phd Research Intern Jobs in Arizona

CommonSpirit Health

Research Scientist I

Phoenix, AZ

Supervision and training of laboratory personnel including post-doctoral fellows PhD and undergrad ... Specialized computer analysis program experience (Use of High Performance Compute) Where You'll ...

The State of Arizona

INTERN - (ITD)

Phoenix, AZ

$16.50 - $17.60/hr

Environment/Air/Water/Waste, Information Technology/Services, Research DEPT OF WATER RESOURCES ADWR ... Candidates must be enrolled in a degree program related to Information Technology, Computer Science ...

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Computer Science Phd Research Intern information

What are the key skills and qualifications needed to thrive as a Computer Science PhD Research Intern, and why are they important?

To thrive as a Computer Science PhD Research Intern, you need advanced knowledge in computer science fundamentals, research methodology, and typically be enrolled in a relevant PhD program. Experience with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and present complex ideas clearly. These skills are essential for contributing to innovative research projects, publishing findings, and succeeding in a competitive academic or industry research environment.

What does a Computer Science PhD Research Intern do?

A Computer Science PhD Research Intern typically contributes to cutting-edge research projects under the guidance of experienced mentors, often in an academic or industry setting. Responsibilities may include designing experiments, developing algorithms, conducting data analysis, and publishing findings in conferences or journals. The role is designed to provide practical research experience, sharpen technical skills, and foster collaboration with other researchers. Interns often have the opportunity to work on real-world problems and gain insights into the research and development process within the field of computer science.

What types of projects and collaborations can a Computer Science PhD Research Intern typically expect during their internship?

As a Computer Science PhD Research Intern, you will often work on advanced research projects that align with your academic interests and the organization's strategic goals. Interns typically collaborate closely with senior researchers, engineers, and sometimes cross-functional teams such as product or data science groups. Projects may involve designing experiments, developing prototypes, or publishing findings in academic venues. The environment is usually supportive of exploration and peer feedback, and you’ll have opportunities to present your work, gain mentorship, and contribute to impactful, real-world applications.
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Computer Science Phd Research Intern jobs near you
AI/ML Engineering Intern

AI/ML Engineering Intern

Universal Avionics Systems Corporation

Tucson, AZ • On-site

$14.50 - $18.75/hr

Full-time

Posted 7 days ago

Job description

AI/ML Engineering Intern

Tucson, AZ (Onsite) | Aerospace & Avionics

9/80 Schedule Available – Every Other Friday Off

AI/ML Engineering Intern – Build AI That Powers the Future of Flight

At Universal Avionics, we've spent decades building the avionics systems trusted by pilots and operators around the world. Our AI Labs team is pushing the boundaries of what's possible in aerospace technology, and we're looking for an AI/ML Engineering Intern who's ready to build real things -- not just observe.

This is not a shadow-and-sit-in role. You'll be an active contributor to the design, development, and testing of scalable AI and machine learning solutions, working alongside engineers who care deeply about getting it right in a safety-critical environment.

You'll Thrive Here When...

  • You want to build AI systems that actually ship, not just run in notebooks
  • You enjoy translating data into models and models into measurable outcomes
  • You're comfortable working through ambiguity and iterating fast
  • You're curious about how AI fits into regulated, high-stakes industries
  • You thrive in a collaborative, cross-functional engineering environment

What You'll Work On

  • Design and develop scalable AI solutions using machine learning models and tools
  • Build and optimize data pipelines, prototypes, and training datasets using cloud platforms (AWS, Azure, or GCP)
  • Conduct research and testing to develop machine learning algorithms and predictive models
  • Execute performance testing to evaluate AI systems handling large datasets and complex algorithms
  • Ensure the reliability and performance of AI systems through active development and iteration
  • Collaborate with cross-functional teams to support project goals and solution implementation

What We're Looking For

  • Currently pursuing or holding a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
  • Exposure to or working experience in AI, machine learning, or software development
  • Proficiency in Python
  • Familiarity with machine learning frameworks such as TensorFlow, Spark, or scikit-learn
  • Experience with big data tools and cloud computing platforms (AWS, Azure, or GCP)
  • Strong analytical and problem-solving skills

Why Engineers Love Working Here

  • Work on technology that supports real aircraft and global flight operations
  • Gain hands-on exposure to AI development within a safety-critical aerospace environment
  • Mentorship from experienced engineers in a specialized, mission-driven team
  • Opportunity to grow your skills in a company with decades of aerospace credibility
  • 9/80 schedule - every other Friday off

Our Quality Mindset & Core Values

Innovation We advance avionics technology through creative engineering and continuous improvement.

Excellence We hold ourselves to high standards in quality, reliability, and execution.

Resilience We solve complex technical challenges in demanding aerospace environments.

"Yes, I Can" Ownership We value engineers who are proactive, collaborative, adaptable, and solutions oriented.

Work Environment

This role is based on-site in Tucson, Arizona. You'll work primarily in an office environment within our AI Labs team, with exposure to the broader engineering organization. ESD precautions and protective eyewear may be required in certain areas.

If you're passionate about AI, machine learning, and building the systems that keep aviation safe, we'd love to connect.

Learn more: Universal Avionics

Universal Avionics' products and technology are subject to U.S. export laws and regulations, including but not limited to ITAR and EAR. As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.

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