Machine Learning R&D Co-Op

Emerson•Marshalltown, IA

12h•Onsite

About The Position

This role involves participating in the architecture of data collection, organization, and analysis from various sources for AI/ML based diagnostics and prognostics R&D. The co-op will design, plan, and conduct lab experiments to generate high-quality data for evaluating, validating, and improving AI/ML models. They will work with R&D and data science teams to perform exploration data analysis, identify trends and features, and help plan and roadmap new features and functionality. The position is within a multi-disciplinary agile team supporting research, data science, and prognostics teams in developing and improving AI/ML models. Responsibilities also include documenting and presenting progress/results to teams and stakeholders, and assisting with other project activities as assigned.

Requirements

Enrollment in a Bachelor's degree program in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related engineering/science field.
Experience with Python, Matlab, LabView or similar technical computing language.
Ability to work in a laboratory environment and follow structured experimental procedures.
Strong analytical, problem-solving, documentation, and communication skills.

Nice To Haves

Junior or higher class standing
Cumulative GPA of 2.5 or higher
Experience with Python-based data science and machine learning tools such as NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar libraries.
Familiarity with time-series data, sensor data, signal processing, filtering, feature extraction, or frequency-domain analysis.
Exposure to machine learning methods such as classification, regression, anomaly detection, clustering, neural networks, or probabilistic models.
Experience designing or supporting lab experiments, test plans, data acquisition, or Design of Experiments.
Interest in diagnostics, prognostics, predictive maintenance, reliability engineering, or condition-based monitoring.
Ability to connect experimental observations with physical system behavior and communicate findings clearly to both technical and non-technical audiences.
Experience with data visualization, technical reporting, dashboards, or database/storage tools is a plus.

Responsibilities

Participate in the architecture of data collection, organization, and analysis from various sources including manufacturing and global service partners for AI/ML based diagnostics and prognostics R&D.
Design, plan, and conduct lab experiments to generate high-quality data for evaluating, validating, and improving AI/ML models for diagnostics and prognostics research.
Work with R&D and data science teams to perform exploration data analysis, identifying trends and features.
Help plan & roadmap new features and functionality.
Work in a multi-disciplinary agile team supporting research, data science, and prognostics teams in developing and improving AI/ML models.
Document and present progress/results to the data science and prognostics teams as well as other stakeholders.
Assist with other project activities as assigned.