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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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Quantitative Research Engineer - PhD Intern (US)

Quantitative Research Engineer - PhD Intern (US)

Citadel

Miami, FL • On-site

$4.8K - $5.3K/wk

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title

At Citadel, Quantitative Research Engineers work closely with Quantitative Researchers to develop and implement automated trading system software solutions. These solutions utilize advanced statistical and quantitative techniques to tackle complex financial challenges. We seek candidates with a proven track record of excellence in their field and a strong desire to apply their advanced software engineering skills to systematic investing.

As an intern, you'll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.

Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.

Your Objectives
  • Design, develop, test, and deploy elegant software solutions for automated trading systems
  • Partner with the Quantitative Research team to define priorities and deliver custom software solutions
Your Skills & Talents
  • PhD degree in computer science, mathematics, statistics, physics, or another highly quantitative field
  • Strong programming skills with proficiency in one or more programming languages, including C++, Python, and R
  • A deep passion for technology, software development, and mathematics
  • Strong computer science fundamentals and software development experience
  • Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development
  • Proven track record of creatively solving problems by understanding and prioritizing business value and applying technology solutions
  • Strong written and verbal communications skills

Opportunities available in Miami and New York.

In accordance with applicable law, the base salary range for this role is $4,800 to $5,300 per week.

About Citadel

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

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