University of Minnesota
3 weeks ago
Postdoctoral Associate in Sensing, AI, and Green Systems Engineering at the University of Minnesota University of Minnesota in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time postdoctoral appointment for one year initially, with possible extension based on satisfactory performance and continued funding. Pay range is $62,232-$70,000 depending on education, qualifications, and experience. Benefits include paid holidays, time off, medical/dental/pharmacy plans, HSA contributions, disability and life insurance, wellbeing support, and counseling services.
Country
United States
University
University of Minnesota
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About this position
Postdoctoral Associate opportunity at the University of Minnesota in the SAGE Lab (Sensing, AI & Green Systems Engineering), led by Dr. Sambandh Dhal in the Department of Bioproducts and Biosystems Engineering.
The role focuses on machine learning, deep learning, statistical modeling, computer vision, chemometrics, sensor fusion, uncertainty-aware modeling, optimization, and decision-making under uncertainty for complex scientific and engineering datasets. Application areas include agricultural, food, biological, energy, environmental, and materials systems, with data sources such as spectroscopy, hyperspectral imaging, remote sensing, IoT sensors, process measurements, and multimodal data.
The postdoc will spend most of the time on research and technical development, including model development for classification, regression, anomaly detection, forecasting, process monitoring, control, and deployment-oriented workflows. Additional responsibilities include proposal development, scientific writing, manuscript preparation, collaboration, mentoring, and research dissemination.
Required qualifications include a Ph.D. in engineering, computer science, or a closely related field; strong programming skills in Python, MATLAB, or R; and demonstrated ability to conduct independent, rigorous research. Preferred experience includes multimodal sensing, time-series analysis, transfer learning, domain adaptation, stochastic control, optimization, and work with spectroscopy, imaging, IoT, remote sensing, or sustainable systems.
This is a full-time appointment for one year initially, with possible extension based on performance and continued funding. Salary is listed at $62,232-$70,000 depending on qualifications and experience, with standard university benefits.
Applications must be submitted online through the university portal. Applicants should upload a cover letter and resume; additional documents may be added later through the job application system.
Funding details
Full-time postdoctoral appointment for one year initially, with possible extension based on satisfactory performance and continued funding. Pay range is $62,232-$70,000 depending on education, qualifications, and experience. Benefits include paid holidays, time off, medical/dental/pharmacy plans, HSA contributions, disability and life insurance, wellbeing support, and counseling services.
What's required
Ph.D. in engineering, computer science, or a closely related discipline. Applicants should have research 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 in Python, MATLAB, R, or equivalent are required, along with the ability to conduct independent research, formulate data-driven questions, evaluate models rigorously, and communicate results in writing and presentations. Candidates must be able to connect modeling assumptions to the physical, biological, or process systems generating the data and be willing to learn new computational, sensing, experimental, and proposal-development methods. Experience with multimodal sensing, computer vision, uncertainty quantification, transfer learning, domain adaptation, stochastic control, optimization, deployment-oriented analytics, spectroscopy, hyperspectral imaging, IoT, remote sensing, or sustainable systems is preferred.
How to apply
Apply online through the university job portal using the Apply button. Submit an online application and attach a cover letter and resume. Additional documents can be uploaded later through My Job Applications. For accommodations, email [email protected].
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