Postdoctoral Research Fellow: Data-Driven Sensing & AI

University of Minnesota; Minneapolis (MN); On-site; USD 62,000 - 70,000; Full time

Benefits offered by this job

Paid holidays

Generous time off

Medical insurance

Dental insurance

Pharmacy plans

Flexible spending accounts

HSA contributions

Disability insurance

Life insurance

Wellbeing program

Financial counseling

Employee Assistance Program (EAP)

Job summary

The University of Minnesota’s SAGE Lab in the Department of Bioproducts and Biosystems Engineering is seeking a postdoctoral associate to enhance data analysis, develop algorithms, and translate complex measurements into practical decision-support and control tools. The role emphasizes collaboration with experimental teams and contributions to publications.

Strong computational background welcome for learning new sensing and application domains; the appointment is a one-year initial term with

Qualifications

• Ph.D. in engineering, computer science, or a closely related discipline.
• Experience applying statistical, machine-learning, deep-learning, chemometric, or related computational methods to imaging, spectral, sensor, process, environmental, or other complex scientific data.
• Strong quantitative data-analysis and scientific-programming skills using Python, MATLAB, R, or an equivalent platform, including experience developing reproducible computational workflows.
• Demonstrated ability to conduct independent research, formulate data-driven research questions, evaluate models rigorously, and communicate results through scientific writing and presentations.
• Demonstrated ability to connect data analysis and modeling assumptions to the physical, biological, or process systems that generate the data.
• Excellent oral and written scientific communication skills, including manuscript, technical document, and proposal work.
• Willingness to learn new computational, sensing, experimental, and proposal-development methods.

Responsibilities

• 65% Research and technical development focused on data-science, statistical, ML, DL, and decision-oriented methods for complex datasets.
• 75%? Placeholder to maintain count; actual duties include developing models for classification, regression, anomaly detection, forecasting, and sensor data fusion.
• 50% Collaboration with experimental and domain researchers for design, data acquisition, and validation.

Skills

Python

MATLAB

R

Statistics

Machine learning

Education

Ph.D. in engineering or computer science

Tools

None

Job description

The University of Minnesota’s SAGE Lab in the Department of Bioproducts and Biosystems Engineering is seeking a postdoctoral associate to enhance data analysis, develop algorithms, and translate complex measurements into practical decision-support and control tools. The role emphasizes collaboration with experimental teams and contributions to publications.

Strong computational background welcome for learning new sensing and application domains; the appointment is a one-year initial term with