Internships are formal programs within organizations whose primary purpose is to offer practical work experience in a particular occupation to people who are new to that field. Internships are a proven way to gain relevant knowledge and skills in a field, and are key to building experience as a student or recent graduate. Employers are more likely to hire someone with internships and work experience rather than someone with a generic resume, lacking experience.
Benefits of Internships
- Learn more about your field or industry
- Apply knowledge learned in the classroom
- Gain valuable work experience
- Build relationships with valuable networking contacts
Featured Internship Opportunities
Secretariat of the Internet & Jurisdiction Policy Network Graduate Internship (Two positions)
We are looking for a dynamic intern with a keen interest in internet governance and multi-stakeholder cooperation. You will work with an innovative and successful internet governance secretariat in a fast-paced, global environment. We are based in Paris, France in a renovated factory near Canal St. Martin, and our working language is English. This is a paid internship (650 euro per month), and a partial public transportation cost reimbursement is also provided. The duration of the internship is 6 months. Application information for the fall 2018 term is available below.
National Institute of Standards and Technology Student Pathways Program
NIST currently has two internship positions located in the Information Technology Laboratory. The Information Technology position is specific to these technical areas of interest: search engine evaluation strategies, networking, network security, machine learning, gig data analysis, high performance computing, data-driven models using machine learning; image analytics, systems administration. The Computer Science position is specific to these technical areas of interest information retrieval, natural language processing, web design, machine translation, signal processing, networking, network security, machine learning, big data analysis, high performance computing, image analytics, data-driven models, software assurance, digital forensics, and biometrics.