We are seeking Fall interns to focus on PHY layer research into wireless networking and technology ... signal processing, stochastic processes, communications networks, and optimization. Doctoral ...
We are seeking Fall interns to focus on PHY layer research into wireless networking and technology ... signal processing, stochastic processes, communications networks, and optimization. Doctoral ...
We are seeking Fall interns to focus on PHY layer research into wireless networking and technology ... signal processing, stochastic processes, communications networks, and optimization. Doctoral ...
We are seeking Fall interns to focus on PHY layer research into wireless networking and technology ... signal processing, stochastic processes, communications networks, and optimization. Doctoral ...
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This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
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This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
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Build and test statistical and stochastic models for pricing, forecasting, and risk management ... As part of our assessment process, you may be invited to participate in a multi-day, on-site ...
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... As part of our assessment process, you may be invited to participate in a multi-day, on-site ...
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... As part of our assessment process, you may be invited to participate in a multi-day, on-site ...
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... As part of our assessment process, you may be invited to participate in a multi-day, on-site ...
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... As part of our assessment process, you may be invited to participate in a multi-day, on-site ...
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... As part of our assessment process, you may be invited to participate in a multi-day, on-site ...
Stochastic Processes Internship information
See salary details
$8.65 - $9.86
2% of jobs
$9.86 - $11.06
4% of jobs
$11.06 - $12.26
14% of jobs
$12.72 is the 25th percentile. Wages below this are outliers.
$12.26 - $13.46
12% of jobs
$13.46 - $14.66
15% of jobs
The median wage is $14.84 / hr.
$14.66 - $15.87
18% of jobs
$17.03 is the 75th percentile. Wages above this are outliers.
$15.87 - $17.07
10% of jobs
$17.07 - $18.27
6% of jobs
$18.27 - $19.47
8% of jobs
$19.47 - $20.67
5% of jobs
$20.67 - $21.87
5% of jobs
$8
$15
$21
How much do stochastic processes internship jobs pay per hour?
As of Jul 22, 2026, the average hourly pay for stochastic processes internship in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.
What types of projects or problems do interns typically work on during a Stochastic Processes Internship?
During a Stochastic Processes Internship, interns often engage in projects that involve modeling uncertainty and randomness using advanced mathematical and statistical techniques. This may include tasks such as analyzing real-world data, simulating random processes, or assisting in the development of algorithms for fields like finance, engineering, or data science. Interns frequently collaborate with senior researchers or analysts to solve practical problems, present findings, and may contribute to ongoing research or product development. The work environment is usually collaborative and may involve regular meetings to discuss progress and share insights.
What is a Stochastic Processes Internship?
A Stochastic Processes Internship is a temporary position that allows students or recent graduates to gain practical experience working with random processes and probabilistic models. Interns typically assist with research, data analysis, simulations, and modeling tasks using mathematical and statistical techniques to analyze systems that evolve over time in a random manner. These internships are common in industries such as finance, insurance, data science, and engineering, where understanding uncertainty and randomness is crucial. Interns often work under the supervision of experienced researchers or professionals, and the experience helps them build both technical skills and industry knowledge.
What are the key skills and qualifications needed to thrive as a Stochastic Processes Intern, and why are they important?
To thrive as a Stochastic Processes Intern, you need a solid understanding of probability theory, statistics, and advanced mathematics, typically supported by coursework or a degree in mathematics, statistics, or related fields. Familiarity with programming languages like Python or R, statistical software, and tools such as MATLAB is often required. Strong analytical thinking, attention to detail, and effective communication are standout soft skills for this role. These skills and qualifications are crucial for analyzing complex random systems, communicating findings, and contributing to research or applied projects.
What is the difference between Stochastic Processes Internship vs Data Analyst Internship?
| Aspect | Stochastic Processes Internship | Data Analyst Internship |
|---|---|---|
| Required Credentials | Undergraduate or graduate in mathematics, statistics, or related fields | Undergraduate or graduate in statistics, data science, or related fields |
| Work Environment | Research-focused, often in finance, insurance, or academia | Business, finance, or tech companies analyzing data sets |
| Industry Usage | Finance, academia, research institutions | Business, marketing, finance, tech |
| Common Search/Comparison | Yes | Yes |
The main difference between a Stochastic Processes Internship and a Data Analyst Internship lies in focus and application. A Stochastic Processes Internship emphasizes mathematical modeling and probability theory, often in research or finance sectors. In contrast, a Data Analyst Internship centers on analyzing data to inform business decisions. Both roles require strong analytical skills and related educational backgrounds, but their industry applications and daily tasks differ significantly.
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What states have the most Stochastic Processes Internship jobs? States with the most job openings for Stochastic Processes Internship jobs include:
What job categories do people searching Stochastic Processes Internship jobs look for? The top searched job categories for Stochastic Processes Internship jobs are:
Research Intern - Advanced Wireless Technology Development for 6G Networks
Schaumburg, IL
Other
Re-posted 21 days ago
Job description
Futurewei is expanding leadership in creating innovative networking technologies for 6G wireless networks. We are seeking Fall interns to focus on PHY layer research into wireless networking and technology for 6G Radio Access Networks.
Responsibilities:
- Our intern will focus on research into wireless networking and technology for 6G Radio Access Networks.
- The program goal will be to develop and demonstrate novel concepts for advanced wireless networks utilizing cutting-edge communication theory techniques, drawing from advances in optimization and signal processing techniques, and built upon our existing research outcomes in these areas.
A range of research activities are available to pursue in this important area. These have been identified as part of our recent research work and include advanced MIMO/BF communication, network energy saving, PHY layer signal and receiver design in mobile networks, etc.
Requirements:
The successful candidate will have:
- Completion of applicable graduate coursework in relevant fields within electrical engineering and/or applied mathematics, e.g., wireless communication, signal processing, stochastic processes, communications networks, and optimization. Doctoral students with completion of master's degree, in Electrical Engineering, Computer science and/or Applied Mathematics are preferred.
- Candidate should have knowledge in wireless networks, and knowledge and previous experience in reference signal design, MIMO/Beamforming and its performance evaluation for wireless communications.
- Excellent communication and teamwork skills.
- Proficiency with commercial programming/processing tools, e.g., MATLAB, Python.
Location:
Schaumburg, IL
Employment Type: Intern
About Futurewei Technologies
Sourced by ZipRecruiter
Industry
Telecommunications
Company size
201 - 500 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2001