Description
Qualifications
Company Name:
Category:
Data/Analytics
Status:
Full-Time
Contact Email:
LBrooks@dow.com
Description:
Corteva Agriscience™, Agriculture Division of DowDuPont™ is seeking a Research Leader - Remote Sensing Data Science for its Center located at University of Illinois Urbana-Champaign (UIUC) Research Park. The incumbent will join our global Data Science and Informatics group working on predictive analytics for digital agriculture.
At Corteva Agriscience™, you’ll become part of an interdisciplinary, global work environment in which you will operate as a science leader who will encourage and promote disruptive advances by applying state-of-the-art methods in sensor-fusion, data science, and artificial intelligence to mine critical problems spanning multiple segments of the organization. Your strong and extensive background in remote-sensing fundamentals, machine/deep learning, statistics and optimization will enable us to gain insights from a wide array of structured and unstructured datasets consisting of global-scale spatio-temporal sources (farm-equipment, UAV, satellite, weather, soils etc.), proximal sensors and IoT streams. This is a critical position with strategic impact on our business and you will play a major role by driving innovation in agriculture technology.
Working closely with researchers across the organization, UIUC interns and faculty, you will lead development and deployment of sophisticated end-to-end solutions on a wide range of problems in digital agriculture. This will require excellent interpersonal communication skills and an aptitude for building networks, within and outside the company.
Key Job responsibilities include:
Conduct exploratory research (aligned with business objectives) and establish a center of excellence (with focus on sensor-fusion data-science) at the research park, with a mix of university and internal researchers.
Hire and mentor interns in relevant disciplines.
Develop relationships with professors from relevant departments for innovation, collaboration and/or consulting.
Develop and maintain excellent relationship with all students and help in driving student engagement and performance
Establish relationship with other research park companies to enable innovation and possible collaborations
Required Qualifications:
A PhD in Computer Science, Earth/Environmental Sciences, Physics, Statistics, Mathematics or related areas.
Strong understanding of remote sensing fundamentals, computational learning theory, statistical methods & optimization.
Experience in the evaluating and optimizing machine-learning algorithms and/or process-based models, towards understanding crop-physiology, crop-productivity & environment-characteristics at scale.
Experience in dealing with large scale spatio-temporal data (satellites, drones, IoT-devices, weather-networks, ground-rovers etc.), preferably on a cloud or high-performance computing environment.
Programming skills in Python, R and C/C++ with the ability to quickly create prototype solutions on Unix / Linux / Cloud platforms using open source tooling and libraries as necessary.
Excellent interpersonal, verbal and communication skills and a can-do attitude with the ability to thrive in a fast-paced dynamic environment.
Excellent analytical and problem-solving skills with the ability to work as part of a global team.
Strong networking skills is a must as this position involves establishing, nurturing and expanding relationships with UIUC faculty, companies located in the Research Park area, and Corteva Agriscience™ scientists.
Candidate should possess excellent communication skills
Preferred Qualifications:
Ability and aptitude to oversee/assist general administration of the site
Demonstrated expertise in establishing strategic research collaborations
Good track record of research documentation and IP capture (publications/patents).
About DowDuPont
DowDuPont (NYSE: DWDP) is a holding company comprised of The Dow Chemical Company and DuPont with the intent to form strong,
independent, publicly traded companies in agriculture, materials science and specialty products sectors that will lead their respective
industries through productive, science-based innovation to meet the needs of customers and help solve global challenges.
For more information, please visit us at www.dow-dupont.com.
The positions represented by this job posting are aligned to one of the three divisions, Agriculture, Materials Science or Specialty Products,
which are expected to separate from DowDuPont into stand-alone public companies. Information on the division alignment will be
provided during the recruitment process.
Dow Offers:
Competitive salaries and comprehensive benefits
An annual variable pay program that rewards team and individual performance while sharing success across the company
Employee stock ownership - and the commitment to long-term success that it brings
On-going learning opportunities within a diverse, inclusive and rewarding work environment
Career experiences that can span different Dow businesses and functions with opportunities for personal and professional growth
The chance to work within a global company and interact with colleagues from around the world
Opportunities that spark your imagination and ignite your passion to help others
Dow is an Equal Employment Opportunity Employer
As part of our dedication to the diversity of our workforce, Dow is committed to Equal Employment Opportunity without regard for race,
color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to
providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
If you need assistance or an accommodation due to a disability, you may contact us at http://www.dow.com/en-us/contact-us,
you may call us at 1+800-523-3945 and select Option 1, or send a facsimile request to 1+989-636-3674.
To apply, visit: https://www.dow.com/en-us/Careers/Job-Finder/Job-Details?rid=1806773&utm_source=jooble&utm_medium=cpc&utm_campaign=jooble