9 Model Calibration Jobs

Role Overview: You will be responsible for designing and implementing statistical methodologies for experiment design, model calibration, and validation of process-based models. Your role will involve applying frequentist and Bayesian approaches to uncertainty quantification and predictive modeling. Additionally, you will work 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 will also be part of your responsibilities. You will develop and implement statistical techniques to support Monitoring, Reporting, and Verification (MRV) frameworks for carb...

Quantitative Developer Risk Platform Infrastructure Location:- Mumbai We are looking for Quantitative Developer to architect and oversee the development of highly reliable and scalable risk infrastructure that supports front-office decision-making across asset classesincluding equities, commodities, fixed income, and FX. This role is ideal for candidates who are passionate about building robust systems that deliver accurate pricing, risk, and analytics under production constraints. What You'll Do Own the architecture, design, and delivery of the quant infrastructure powering front-office risk and analytics. Build scalable frameworks for valuation, risk, scenario analysis, and lifecycle model...

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...

Role & responsibilities: Evaluate existing trade surveillance models and alert parameters to identify opportunities for performance enhancement. Conduct systematic tuning exercises to minimize false positives and strengthen true risk detection. Develop and maintain dashboards and metrics to track model accuracy, precision, recall, and false positive ratios. Perform back-testing, trend analysis, and sampling reviews to validate rule effectiveness. Partner with technology and data management teams to identify and resolve data integrity or completeness issues. Review and validate data feeds from source systems to ensure accurate capture of trading activity. Support data governance initiatives t...

As a Senior Engineer at Siemens EDA in the D2S Bangalore team, your role will involve designing and implementing algorithm-centric solutions within the mask data preparation, mask process correction, and lithography systems modeling domain. You will play a significant role in shaping the future of semiconductor manufacturing technology through innovative design, problem-solving, and continuous product improvement. Key Responsibilities: - Design and implement algorithmic solutions in the mask data preparation and lithography systems modeling domains. - Contribute to enhancing Siemens EDA's product lines through design reviews and technical innovations. - Collaborate effectively with multi-fun...

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...

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...

About The Role Contribute to engineering design assignments in a team environment on large-scale project teams. Candidate should have minimum 5years working experience on wastewater modelling for ANZ and UK & I region especially on model calibration & verification. Candidate should be well versed with Info works ICM hydraulic modelling software. Having hands on experience with modeling tools like Water GEMS, Sewer GEMS, Storm CAD, PCSWMM, HEC-RAS, Geo Pak would be advantage. Capable for leading the project, coordinating with Lead Office, mentoring juniors and ensuring quality checks. Complete design activities to specified standards including earthworks modelling and design, sanitary and sto...

As a seasoned agronomy professional, you will be responsible for demonstrating a deep understanding of carbon and nitrogen cycling in soils, specifically how regenerative practices such as cover cropping, reduced tillage, and organic amendments influence soil organic carbon sequestration, nitrogen mineralization, and greenhouse gas (GHG) emissions. You will lead a team of research associates in conducting thorough literature reviews on the impact of GHG emissions from rice, wheat, sugarcane, and maize cultivation in Indian farming systems. Your role will involve assessing the effects of regenerative practices on soil microbial activity, nutrient availability, and carbon-nitrogen interactions...