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Neural Engineering Internship Jobs in Illinois (NOW HIRING)

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... neural networks * Experience with at least one statistical programming language: SAS, R, and/or ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... neural networks * Experience with at least one statistical programming language: SAS, R, and/or ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... neural networks * Experience with at least one statistical programming language: SAS, R, and/or ...

Neural Engineering Internship information

What is a neural engineering internship?

A Neural Engineering Internship provides hands-on experience in the field of neural interfaces, brain-computer interfaces (BCIs), and neuromodulation. Interns typically work on signal processing, machine learning, and hardware development for neurotechnology applications. They may assist in designing experiments, analyzing neural data, or developing medical devices. This role is ideal for students in biomedical engineering, neuroscience, or computer science who want to gain practical experience in neurotechnology.

What types of projects or tasks can I expect to work on during a neural engineering internship?

As a Neural Engineering Intern, you can expect to participate in a variety of hands-on projects such as analyzing neural data, helping design and test brain-computer interface systems, or developing algorithms for neural signal processing. You may also work closely with researchers and engineers to assist in laboratory experiments, device prototyping, or software development. Many internships include literature reviews, data visualization, and the opportunity to present findings to the team. These tasks are designed to give you a comprehensive introduction to current research and industry practices within neural engineering.

What are the key skills and qualifications needed to thrive in the neural engineering internship, and why are they important?

To thrive as a Neural Engineering Intern, you need a strong background in neuroscience, biomedical engineering, or electrical engineering, along with coursework or experience in signal processing and computational modeling. Familiarity with programming languages such as MATLAB or Python and use of lab equipment like EEG, MEG, or neural recording systems are highly beneficial. Critical thinking, effective communication, and a collaborative mindset help interns excel in research-driven, multidisciplinary teams. These skills enable interns to contribute meaningfully to projects, adapt to complex challenges, and succeed in this innovative field.

What are the most commonly searched types of Neural Engineering jobs in Illinois?

The most popular types of Neural Engineering jobs in Illinois are:

What are popular job titles related to Neural Engineering Internship jobs in Illinois?

For Neural Engineering Internship jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Neural Engineering Internship jobs in Illinois look for?

The top searched job categories for Neural Engineering Internship jobs in Illinois are:

What cities in Illinois are hiring for Neural Engineering Internship jobs?

Cities in Illinois with the most Neural Engineering Internship job openings:

Infographic showing various Neural Engineering Internship job openings in Illinois as of August 2026, with employment types broken down into 10% Internship, 82% Full Time, 4% Part Time, and 4% Temporary. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution.

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Posted 3 days ago

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Job description

Role: Data Scientist Intern 
Mode: Hybrid 
Location: Barrington, IL, 3 days per week in office 
Job Description: 
• Pursuing or recently completed a Master’s/Ph.D. in Data Science, Computer Science, Statistics, 
Operations Research, or a related quantitative field. 
• Hands-on experience with Machine Learning, Predictive Analytics, EDA, Statistical Modeling, and 
Feature Engineering. 
• Strong knowledge of Deep Learning, Neural Networks, Computer Vision, and image/video 
processing. 
• Experience with Time-Series Forecasting and quantitative models for demand planning and 
decision-making. 
• Knowledge of Mathematical Optimization, including Linear, Mixed-Integer, and Heuristic 
Optimization techniques. 
• Intermediate Experience with Agentic AI, LLMs, RAG, Multi-Agent workflows, and tools such as 
LangChain, LangGraph, CrewAI, and Hugging Face. 
• Intermediate Proficiency in Python, R, SQL and libraries including Pandas, NumPy, Scikit-learn, 
XGBoost/LightGBM, PyTorch/TensorFlow, OpenCV, Statsmodels, and optimization libraries.