Research Scientist – Agricultural Statistics & Mod

• Design and implement statistical methodologies for experiment design, model calibration, and validation of process-based models.
• Apply frequentist and Bayesian approaches to uncertainty quantification and predictive modeling.
• Work with process-based models such as DayCent and DNDC, ensuring robust statistical validation of outputs.

Overview

• Industry - AGRO BASED INDUSTRIES - AGRICULTURE, DAIRY, FISHING, FORESTRY, WILDLIFE, Agriculture / Farming (Crop Production), Other (Agriculture & Forestry / Wildlife), STATISTICS / ANALYTICS / ACTURIAL SCIENCE / DATA MANAGEMENT FIRMS
• Functional Area - Research / R&D - Pharma / Medical / Health / Biological Sciences, Research / R&D - Chemical / Physical / Earth Sciences
• Job Role - Research Scientist, Research Scientist - Analytical, Research Scientist - Fine Chemicals
• Employment type - Full Time - Fixed Term Employment
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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