Research Scientist Agricultural Statistics & Modeling Varaha

3.0 - 7.0 years

0 Lacs

all india, gurugram

On-site

Job Description: You will be responsible for designing and implementing statistical methodologies for experiment design, model calibration, and validation of process-based models. You will apply frequentist and Bayesian approaches to uncertainty quantification and predictive modeling. Working with process-based models such as DayCent and DNDC, you will ensure robust statistical validation of outputs. Additionally, you will conduct spatial modeling and geostatistical analyses for large-scale agricultural datasets. Your role will involve developing and implementing statistical techniques to support Monitoring, Reporting, and Verification (MRV) frameworks for carbon projects. You will also ensu...

Posted 2 weeks ago

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Research Scientist Agricultural Statistics & Modeling Varaha ClimateAg Private Limited

2.0 - 6.0 years

0 Lacs

haryana

On-site

As a Statistician at our company, you will play a crucial role in designing and implementing statistical methodologies for experiment design, model calibration, and validation of process-based models. Your responsibilities will include: - Applying frequentist and Bayesian approaches to uncertainty quantification and predictive modeling. - Working with process-based models such as DayCent and DNDC to ensure robust statistical validation of outputs. - Conducting spatial modeling and geostatistical analyses for large-scale agricultural datasets. - Developing and implementing statistical techniques to support Monitoring, Reporting, and Verification (MRV) frameworks for carbon projects. - Ensurin...

Posted 2 months ago

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Research Scientist Agricultural Statistics & Modeling Varaha

3.0 - 7.0 years

0 Lacs

haryana

On-site

As a Statistical Methodologist at our climate tech startup, you will design and implement advanced statistical methodologies to enhance experiment design, model calibration, and validation of process-based models. You will be responsible for applying both frequentist and Bayesian approaches to quantify uncertainty and develop predictive models. Collaborating with interdisciplinary teams, including environmental modelers, agronomists, and data scientists, you will integrate statistical insights into decision-making processes. Your key responsibilities will include conducting spatial modeling and geostatistical analyses for large-scale agricultural datasets, developing statistical techniques t...

Posted 3 months ago

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