Senior Scientist - Crop Modelling - Carbon Segment

Carbon Senior Scientist Crop - Modelling

Job Overview:

Seeking a highly motivated and data-savvy Scientist to join crop modelling team. This role is a unique opportunity to contribute to groundbreaking research on quantifying carbon sequestration and greenhouse gas (GHG) emissions from agriculture, in the Indian context.

Key Responsibilities & duties:

- Explore biogeochemical models for quantification of GHG emissions from conventional and improved agricultural practices.

- This database will help in designing our data collection exercises.

- Analyze (along with team) the suitability and applicability of these tools and models for diverse geographical regions within India.

- Critically evaluate the strengths, weaknesses, and data requirements of each explored model.

- Develop GHG Data analytics across models for several regenerative practices, focusing on national and international emission reduction targets, environmental impacts, enhanced soil health and fertility, improved water use efficiency, potential yield improvement (if applicable), reduction in soil tillage practices, and improved fertilizer management and burning practices.

- Develop comprehensive reports/templates comparing and contrasting various GHG emission quantification tools and biogeochemical models.

- Recommend the most appropriate tools/models based on the team's specific needs.

- Develop clear and user-friendly spreadsheets for each explored tools/models.

- These spreadsheets will help the team for assessment of data needs for each tool/model.

Desired Qualification:

- PhD (Environmental Engineering, Bioengineering, Natural Sciences, Agricultural Sciences, Environmental Sciences/Tech, or a closely related field.

- Strong research skills and experience and the ability to critically evaluate scientific literature and technical documentation (8-12 yrs).

- Strong/Prior experience with crop models, biogeochemical models and environmental technologies data analysis tools and resources is essential.

- Strong knowledge in Agronomy is essential.

- Strong knowledge in Biostatistics.

- Excellent analytical and problem-solving skills a natural-born problem cracker!

- Proficiency in data analysis tools and MS Office Suite.

- Familiarity with data science concepts is a significant advantage.

Desirable qualities:

- Familiarity of regenerative agriculture systems and climate change issues in agriculture and Forestry.

- Good communication, time, and resource management.