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DuPont

Research Scientist, Statistician, Prediction Theory and Ag Systems

DuPont - Johnston, IA

Research Scientist, Statistician, Prediction Theory and Ag Systems','015967W-01','!*!DuPont has a rich history of scientific discovery that has enabled

countless innovations in industry and life science. Today, more than ever

before we need to collaborate across disciplines to make life the best that it

can be. The Prediction Theory and Ag Systems Modeling team focuses on

developing mathematical models of plants and agricultural systems to enable prediction

methodologies for digital solutions. We are looking for individuals with a

desire to help farmers, familiarity with nonlinear dynamical systems and an

aptitude for analytics, machine learning and data science.

 

Job

Duties/Responsibilities:

 

The scientist will create novel algorithms to simulate growth and

development for multiple crops and cropping systems, along with methodologies

to train these models to maximize predictability of performance. Modeling and

training frameworks include dynamic and Bayesian methods, and combination of

mechanistic and data driven algorithms. The scientist participates in

interdisciplinary teams of plant scientists, mathematicians, data scientists

and software engineers to ensure successful development of high performing

prediction methodologies that harness biological knowledge, genetics,

environment and management.

 

Work in conjunction with

Research Scientists to establish project portfolio with goals aligned with research

strategy.

Lead the development of next

generation of plant growth models through the integration of statistical

learning methods with mechanistic models.

Conduct basic research to enable the design of novel

cropping systems that harness biological

knowledge, genetics, environment and management. 

','!*!PhD in mathematics, physics, statistics, computer science or related

disciplines.

 

Competencies &

Experience Desired:

 

Demonstrated ability to

work with nonlinear dynamic systems, including model development in Bayesian

framework, uncertainty quantification and predictability assessment and improvement.Expertise in mathematical

modeling, numerical analysis, statistical methodology, machine learning and

demonstrated experience using these techniques to solve research problems.Proficiency in both

scripting and programming languages such as R, Python, C and etc.Outstanding written and

oral communication and interpersonal skills.','Research & Development','NA-United States-Iowa-Johnston','','Pioneer','Doctorate Degree (over 19 years)','','Full-time','Regular','Experienced','Research Scientist, Statistician, Prediction Theory and Ag Systems

12 days 7 hours ago

DuPont

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Research Scientist, Statistician, Prediction Theory and Ag Systems DuPont - Johnston, IA, United States

   

Location: Johnston, IA

Company Profile:
A World Leader in Market-Driven Innovation and Science. With expertise spanning two centuries, diverse industries and more than 90 countries, our company is uniquely positioned to help solve some of the world’s biggest challenges. For more than 200 years, DuPont has brought world-class science and engineering to the global marketplace through innovative products, materials and services. Our market-driven innovation introduces thousands of new products and patent applications every year, serving markets as diverse as agriculture, nutrition, electronics and communications, safety and protection, home and construction, transportation and apparel.