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An innovative institute seeks a tenure-track faculty member to advance research in plant physiology and phenotyping. This role involves developing a high-impact program focused on improving crop resilience to abiotic stresses through advanced image analysis and genomic diversity. With access to cutting-edge research infrastructure, including the PhenoAlxpert HT platform, you will collaborate across disciplines and mentor diverse student populations. This position offers a unique opportunity to contribute to significant agricultural advancements in West Texas, fostering industry partnerships and securing funding for impactful research.
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.