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Computer Networking Internship Jobs in Salem, MA

Construction Intern

Braintree, MA ยท On-site

$15.25 - $20.25/hr

Participate in the Summer Speaker series, internship events, jobsite tours, and networking ... Microsoft Office computer skills. * Demonstrated ability to communicate and influence supervisors ...

Construction Intern

Braintree, MA

$15.25 - $20.25/hr

Participate in the Summer Speaker series, internship events, jobsite tours, and networking ... Microsoft Office computer skills. * Demonstrated ability to communicate and influence supervisors ...

Construction Intern

Braintree, MA ยท On-site

$15.25 - $20.25/hr

Participate in the Summer Speaker series, internship events, jobsite tours, and networking ... Microsoft Office computer skills. * Demonstrated ability to communicate and influence supervisors ...

Construction Intern

Braintree, MA ยท On-site

$15.25 - $20.25/hr

Participate in the Summer Speaker series, internship events, jobsite tours, and networking ... Microsoft Office computer skills. * Demonstrated ability to communicate and influence supervisors ...

Intern - IT & Facilities Support

Boston, MA ยท On-site

$16.25 - $21.75/hr

... internships/co-ops) * Familiarity with Windows, Linux, and/or Mac OS environments * Working knowledge of office productivity tools and computer peripherals * Basic understanding of network security ...

Intern - IT & Facilities Support

Boston, MA ยท On-site

$16.25 - $21.75/hr

... internships/co-ops) * Familiarity with Windows, Linux, and/or Mac OS environments * Working knowledge of office productivity tools and computer peripherals * Basic understanding of network security ...

Showing results 41-60

Computer Networking Internship information

See Salem, MA salary details

$10

$19

$28

How much do computer networking internship jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for computer networking internship in Salem, MA is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $21.01 per hour, depending on experience, location, and employer.

What is a computer networking internship?

A Computer Networking Internship is a temporary position that provides hands-on experience in maintaining, troubleshooting, and configuring network systems. Interns often assist with network security, hardware setup, and software updates under the supervision of IT professionals. This role helps students or entry-level candidates gain practical knowledge of networking protocols, infrastructure, and troubleshooting techniques. It is an opportunity to develop technical skills, work with real-world networking environments, and prepare for a career in IT or network administration.

What are the key skills and qualifications needed to thrive in a computer networking internship, and why are they important?

To thrive as a Computer Networking Intern, you typically need a foundational understanding of networking concepts, protocols, and hardware, often gained through coursework in computer science or information technology. Familiarity with tools like Wireshark, basic command-line utilities, and certifications such as CompTIA Network+ can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help interns excel when troubleshooting and collaborating with IT teams. These abilities are crucial for successfully supporting network operations and gaining hands-on experience in a professional environment.

What kinds of projects or tasks do computer networking interns usually work on during their internship?

As a Computer Networking Intern, you may assist with setting up and configuring network equipment, monitoring and documenting network performance, and troubleshooting connectivity issues. Interns often support senior network engineers during upgrades or maintenance, and may help with implementing security measures or performing routine system checks. Many internships also include exposure to real-world projects, such as deploying new hardware or optimizing existing network infrastructure. This hands-on experience gives you valuable insight into daily operations and helps build skills for a future career in IT or network administration.

What job categories do people searching Computer Networking Internship jobs in Salem, MA look for? The top searched job categories for Computer Networking Internship jobs in Salem, MA are:
What cities near Salem, MA are hiring for Computer Networking Internship jobs? Cities near Salem, MA with the most Computer Networking Internship job openings:

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA โ€ข On-site

Full-time

Re-posted 2 days ago


Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)