Careers
Targeted Pesticide Applications
Description of Duties
The successful candidate will conduct research to develop and refine AI models for crop and disease detection. They will collaborate in the design and implementation of a smart spray system prototype, analyze and interpret data from AI models and machine vision systems, participate in field testing and validation of the smart spray system. The candidate will be expected to assist in preparing research reports, publications, and presentations, publish in peer-reviewed journals and conference proceedings, and engage with industry partners for potential commercialization of the developed system.
Qualifications:•Ph.D. in Agricultural Engineering, Computer Science, Plant Science, or a related field.•Strong background in AI, programming, machine learning, and image processing.•Proficiency in programming languages such as Python, R, C/C++, ASM or similar.•Excellent analytical, problem-solving, verbal and written communication skills.•Ability to work independently and as part of a multidisciplinary team.Preferred Skills:•Knowledge of integrating software and hardware in developing embedded computer systems.•Experience in CAD design and machine/electrical circuit fabrication.•Experience in developing and deploying machine vision systems.•Familiarity with generative AI techniques for synthetic image generation.•Practical experience in prototype development and field testing.