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PhD Graduate Research Assistantship in Integrated Weed Management
Description of Duties
The PhD Graduate Research Assistant will conduct research on integrated weed management strategies to address herbicide resistance in agroecosystems. Responsibilities include designing and implementing field, laboratory, and greenhouse experiments to assess the impact of agronomic practices on weed populations, soil microbial communities, and crop health. The research will utilize precision agriculture technologies, such as remote sensing and UAV (drone) imagery, for weed detection and management, and explore plant-soil-microbe interactions to understand their role in weed suppression and crop productivity.
The role involves extensive data collection, management, and analysis using advanced statistical and machine learning methods. The candidate will coordinate field trials at multiple Colorado research sites, collaborate with farmers, extension personnel, and scientists, and disseminate findings through peer-reviewed publications, conference presentations, and extension outreach. Additional duties include grant writing, lab meetings, mentoring undergraduate researchers, and obtaining a UAV pilot certification for research purposes.
The candidate will also lead or collaborate on projects within the Weed Science program, including industry partnerships, and participate in pesticide applications following regulatory guidelines. Success in this role requires a commitment to research excellence, attention to detail, and strong problem-solving skills. This position offers an opportunity to develop expertise in weed science, soil microbiology, and precision agriculture while contributing to sustainable weed management strategies.
The ideal candidate must have an earned M.S. degree in Weed Science, Agronomy, Plant Ecology, Soil Science, Microbiology, or a closely related field. A strong background in weed ecology, soil microbial interactions, or precision agriculture technologies is preferred. Candidates should have experience in experimental design, data collection, and statistical analysis, with proficiency in relevant software for data processing and interpretation. Strong written and verbal communication skills are essential, as the candidate will be expected to publish research findings in peer-reviewed journals and present at scientific conferences.The successful applicant should possess the ability to work both independently and collaboratively as part of a multidisciplinary research team. Experience with field research, laboratory techniques, and greenhouse studies is desirable. Familiarity with remote sensing, UAV (drone) technology, or machine learning applications in agriculture is an asset but not required. The candidate must be willing to travel to research sites, work in diverse environmental conditions, and obtain a UAV (drone) pilot certification for data collection purposes, if necessary.
Please submit the following items to Dr. Lovreet Shergill; [email protected]
1. A statement of purpose that clearly outlines your professional objectives and scientific interests.
2. Your curriculum vitae (CV) detailing your education, research experience, and any publications.
3. Unofficial transcripts from all universities/colleges attended.
4. Contact information for three professional references who can speak to your qualifications for this position.
5. Scores for IELTS/TOEFL (if applicable) and GRE (optional).
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