Machine Learning R&D Co-Op

• 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.
  

• You are self-motivated. You balance planning with actions. You solicit both input and discussion. You focus on priorities and set stretch goals.

• 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.

• 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.
  

• At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
• We recognize the importance of employee wellbeing and know that to do your best you must have flexible, competitive benefit plans to meet your physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage. Our culture prioritizes work-life balance and offers flexible time off plans, including paid holidays and volunteer time. You will also get hands-on experience, professional development, and networking opportunities in our well-established and structured co-op program. There is also an easy to access on-site cafeterias, fitness facilities, employee resource groups, recognition, and much more.

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