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Stochastic Processes Internship Jobs (NOW HIRING)

Developer

Peoria, IL · On-site

Min 1 year professional (internship excluded) experience in software development. 2 years ... NET and/or C# and exposure to stochastic process modeling is a plus (not required). Candidates must ...

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Stochastic Processes Programming * Python * C++ * SQL * Data Structures * Algorithms Quant Topics ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

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Stochastic Processes Programming * Python * C++ * SQL * Data Structures * Algorithms Quant Topics ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

Building stochastic models to determine the fair value of financial derivatives. * Combining ... A highly-competitive internship compensation package * Optiver-covered flights, living ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Digital signal processing * Probability theory * Stochastic signal processing * RF and ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Digital signal processing * Probability theory * Stochastic signal processing * RF and ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Digital signal processing * Probability theory * Stochastic signal processing * RF and ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Digital signal processing * Probability theory * Stochastic signal processing * RF and ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Digital signal processing * Probability theory * Stochastic signal processing * RF and ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Digital signal processing * Probability theory * Stochastic signal processing * RF and ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Digital signal processing * Probability theory * Stochastic signal processing * RF and ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Digital signal processing * Probability theory * Stochastic signal processing * RF and ...

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How much do stochastic processes internship jobs pay per hour?

As of Jun 29, 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.

Which internship is best after 12th?

For students interested in stochastic processes or data analysis, pursuing internships in data science, analytics, or research roles related to mathematics or statistics can be valuable after 12th. These internships often require foundational knowledge in programming, statistics, and problem-solving skills, and can provide practical experience for future careers in quantitative fields.

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.

How much will be paid for an internship?

The stipend for a stochastic processes internship varies depending on the organization and location but typically ranges from unpaid to several thousand dollars per month. Paid internships often offer between $15 and $30 per hour, with some providing a fixed monthly stipend, and may include benefits such as mentorship and professional development opportunities.

What is the difference between Stochastic Processes Internship vs Data Analyst Internship?

AspectStochastic Processes InternshipData Analyst Internship
Required CredentialsUndergraduate or graduate in mathematics, statistics, or related fieldsUndergraduate or graduate in statistics, data science, or related fields
Work EnvironmentResearch-focused, often in finance, insurance, or academiaBusiness, finance, or tech companies analyzing data sets
Industry UsageFinance, academia, research institutionsBusiness, marketing, finance, tech
Common Search/ComparisonYesYes

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.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience for students pursuing careers in accounting, finance, and consulting.

What jobs can you do with mathematics and statistics?

A Stochastic Processes Internship prepares individuals for roles such as data analyst, quantitative analyst, risk analyst, or operations researcher, where skills in probability, modeling, and statistical analysis are essential. These jobs often involve working with data, developing models, and using tools like R or Python. Strong mathematical and statistical knowledge is crucial for success in these positions.
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Research Intern - Advanced Wireless Technology Development for 6G Networks

Research Intern - Advanced Wireless Technology Development for 6G Networks

FUTUREWEI TECHNOLOGIES INC

Schaumburg, IL

Other

Posted 27 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