Company

Software Engineering InstituteSee more

addressAddressPittsburgh, PA
type Form of workFull-Time
CategorySales/marketing

Job description

The Cybersecurity Foundations team performs research in secure development processes, including the development of coding rules to minimize risk and program analysis tools to evaluate the security of software. Fundamental to this work is analysis of how programs have been constructed in the field. The intern will work with SEI staff with research in this area.
The specific project is to gather data to establish a baseline of common errors made by Rust programmers. The expected methodology is to use natural language processing techniques augmented with unsupervised learning to evaluate and cluster check-in comments made by programmers when committing changes to GitHub projects written in Rust. The result would be an empirical analysis of Rust errors. Time permitting, a next step would be to propose programming rules that could be used by Rust programmers to avoid such errors. This could serve as the basis for another volume in the CERT Coding Standard library.
Requirements:

  • Current enrollment in an undergraduate or graduate degree granting program.
  • Able to work an internship schedule during the summer semester.
  • Able to come on-site to the SEI Pittsburgh office.
  • Eligibility to work in the United States without visa sponsorship.
  • Candidates will be subject to a background check.
  • Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.

Relevant knowledge, skills, and abilities include:
  • Software development skills in Rust.
  • Classroom-level experience with NLP and ML tools.

Ideal candidate would also have:
  • Taken a secure coding course in any language (or had equivalent training).
  • Used the GitHub repository for software development.

Location
Pittsburgh, PA
Job Function
Non-CMU Students
Position Type
Staff - Fixed Term (Fixed Term)
Full time/Part time
Full time
Pay Basis
HourlyMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance
Refer code: 8510191. Software Engineering Institute - The previous day - 2024-03-09 10:32

Software Engineering Institute

Pittsburgh, PA

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