Cornell University: Assistant Research Professor in Systems Engineering and Data Analytics

Assistant Research Professor in Systems Engineering and Data Analytics for Specialty Crops at Cornell AgriTech, Cornell University; non-tenure track, three-year appointment (12-month), renewable. Start Date: July 1, 2019 or as negotiated. Unit affiliation to be negotiated at Cornell AgriTech (agritech.cals.cornell.edu) invites applications for a non-tenure track Assistant Research Professor position. The use of sensors, mechanical and digital control systems, autonomous robotics and data management algorithms offer new opportunities to improve crop management systems and enhance breeding programs. Digital technologies can achieve improved crop management and monitoring targets with respect to specific physiological and environmental parameters that impact efficiency, productivity and quality in agricultural systems. These systems can be particularly useful in improving the sustainability and profitability of high-value specialty crops, such as those in fruit orchards, vineyards, and vegetable systems under conventional or organic management.

Responsibilities:

The successful applicant to this full-time, 100% research position is expected to develop an internationally recognized, externally funded research program focused on developing, evaluating and commercializing engineering systems for use in specialty crop management and breeding. The research program can include one or more of the following: sensor development and deployment, autonomous robotic systems, mechanical and digital control systems, data engineering, data science, improved crop management, reduced costs of production, or labor savings. The program will build on and be supported by dynamic collaborations at Cornell AgriTech with extension and industry partners to achieve applied impact in specialty crop breeding and production systems. The successful applicant will work with research and extension faculty in related disciplines across Cornell University.

Qualifications:

Ph.D. degree in engineering, computer science, data science, biophysics, plant science, or a related discipline with applicability to agriculture. A record of peer-reviewed publications, grant support, and other scholarly accomplishments commensurate with experience. Applicants should demonstrate expertise in one or more of the following topics: agricultural sensor technology, computer vision, data analytics and artificial intelligence, data engineering, robotics and automation, cloud computing, edge computing, and computer-controlled delivery systems. Knowledge of plant physiology and fruit and vegetable production practices is desired. Preferred qualifications include postdoctoral experience, successful collaborative experience and ability to communicate effectively with diverse groups, including students, colleagues and industry stakeholders. We seek applicants whose record in research and professional service has prepared them to contribute to Cornell's historical commitment to diversity.

Academic Rank, Compensation and Benefits:

Assistant Research Professor (non-tenure track, three-year appointment) with salary competitive with peer institutions and commensurate with background and experience. An attractive fringe benefits package is provided. Reappointment or promotion to Associate Research Professor upon satisfactory performance review.

Application Instructions:

Candidates should submit a cover letter, CV, research statement, a statement of diversity, equity, and inclusion, and arrange to have three reference letters submitted to Academic Jobs Online at (academicjobsonline.org/ajo/jobs/12989).

The Cornell community embraces diversity and inclusion. We value AA/EEO, Protected Veterans, and Individuals with Disabilities, and seek candidates who will create a climate that attracts persons of all races, ethnicities and genders.


Editor's note: MinorityPostdoc.org publishes postdoctoral & professional job / opportunity advertisements. When participating in these opportunities, please mention that you saw the ad here. Advertisers can request information on rates and terms by contacting us at

last updated 6-Jan-2019