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A leading academic institution is seeking a dedicated faculty member to join their team as an Assistant or Associate Professor. This role focuses on advancing research in plant physiology and large-scale phenotyping, utilizing cutting-edge technologies to enhance crop resilience against abiotic stresses. The successful candidate will engage in interdisciplinary collaboration, leveraging state-of-the-art research infrastructure to drive innovation in agricultural science. With a focus on mentoring and effective teaching, this position offers a unique opportunity to make a significant impact in the field while contributing to the academic community and industry partnerships.
The Institute for Genomics for Crop Abiotic Stress Tolerance (IGCAST) at Texas Tech University invites applications for a tenure-track faculty position at the Assistant or Associate Professor level (9-month appointment). We seek candidates with expertise in plant physiology large-scale phenotyping, and advanced image analysis using diverse platforms and wavelengths. IGCAST faculty hold academic appointments in the Department of Plant and Soil Science, Davis College of Agricultural Sciences and Natural Resources. The successful candidate will develop a high-impact, internationally recognized research and teaching program integrating phenotyping with genomic diversity to improve crop resilient to abiotic stresses. Target crops include cotton, sorghum, and others relevant to West Texas agriculture. Applicants with experience using high-throughout phenotyping systems, such as PhenoAlxpert, Field Scanalyzer, drone or satellite to based imaging, are strongly encourage to apply. A systems biology approach spanning genome to phenome is expected. This position offers excellent opportunities for interdisciplinary collaboration and access to advanced research infrastructure, including a state-of-the-art PhenoAlxpert HT platform in a controlled greenhouse environment.
Applicants must possess a PhD in Plant Biology, Genomics, or Bioinformatics and at least two years of postdoctoral experience in high-throughput Phenomics and Image Analyses. Familiarity with the PhenoAlxpert HT or similar systems in highly desirable. Candidates should exhibit strong communication and analytical skills, a record of cross-disciplinary collaboration, and effective teaching at the undergraduate and/or graduate levels. A successful track record in securing competitive funding, publishing in top-tier journals, and mentoring diverse student populations is expected. The ability to foster industry partnerships and public-private collaborations is a plus.