Job Description

Postdoctoral Associate – Global livestock datasets for environmental and economic analyses

Department of Global Development

College of Agriculture and Life Sciences

Cornell University

Ithaca, NY 

The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and home to Cornell University’s second largest population of students, faculty and staff. We work across disciplines to tackle the challenges of our time through world-renowned research, education and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: natural and human systems; food, energy and environmental resources; and social, physical and economic well-being. CALS is fundamentally invested in improving the lives of people, their environments and their communities both in New York state and around the world.

The College of Agriculture and Life Sciences at Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.

Cornell's Food Systems & Global Change (FSGC) team is a part of the Department of Global Development, College of Agricultural and Life Sciences and focuses on increasing the sustainability of food systems for the benefit of humans and ecosystems. We work in the areas of sustainable intensification of agriculture, climate mitigation and adaptation, livestock systems, and healthy and sustainable diets, providing analysis and insights aimed at helping to shape the decision-making process at all relevant levels. As good decisions rely on good data, we are developing a global dataset of livestock production systems, their requirements, and impacts, and we are looking for a highly motivated postdoctoral associate that excels in programming for large data sets.

Position Function

The postdoctoral associate will contribute to the development of a global, high-resolution, spatially explicit, dataset of biomass use, production, feed efficiencies, and greenhouse gas emissions of animal production systems. The work would include collecting, processing, structuring and harmonizing data, as well as developing tools to ensure the dataset is easily updatable and accessed, and ensuring good documentation. This project is a collaboration with Environmental Defense Fund (EDF) and is funded by the Cornell Atkinson Center for Sustainability’s strategic partnership with EDF. There may also be opportunities to collaborate with the FSGC team’s other related projects and to develop independently-driven projects.

Responsibilities

Data engineering, storage, retrieval

Very large-scale data mining and analysis

Developing a harmonized dataset to other global data products

Use best-practices for reproducible coding

Draft manuscripts and publish results in high-impact, peer-reviewed journals

Present results at conferences and seminars

Responsibilities

Ph.D. degree in Data Science, Biostatistics, Bioinformatics, or related disciplines 

Experience with large data sets and data management 

Proficiency with R or Python, familiarity with modeling software like GAMS is highly valuable

Ability to work independently and as part of a diverse, interdisciplinary team

Strong analytic and written communication skills

This is a 12-month, full-time appointment with a potential for renewal contingent on available funding and satisfactory performance. This position is anticipated to start in the summer of 2022.

To Apply: visit https://academicjobsonline.org/ajo/jobs/21777 to submit a cover letter, curriculum vitae, contact information for three references,  a research statement, and statement of contribution to diversity, equity and inclusion.

If you have any questions regarding this posting, please contact Prof. Mario Herrero (mh2258@cornell.edu).

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