Assistant Professor of In-silico root/soil research
The Pennsylvania State University | |
United States, Pennsylvania, University Park | |
201 Old Main (Show on map) | |
Nov 24, 2024 | |
APPLICATION INSTRUCTIONS:
JOB DESCRIPTION AND POSITION REQUIREMENTS: Assistant Professor of In-silico root/soil research The Department of Plant Science in the College of Agricultural Sciences and the Institute for Computational and Data Sciences (ICDS) at The Pennsylvania State University invite applications for a tenure track Assistant Professor position with primary responsibilities in research (75%) and teaching (25%). The successful applicant will conduct research focusing on roots and their interactions with soil using modern approaches of computational biology and data science. Example research themes include: high-throughput data analysis and discovery; AI-guided phenotyping and ideotyping for future crops and agroecosystems; algorithms to explore vast decision spaces of plant and microbial traits interacting with the environment and management; functionalstructural modeling to reveal biology that eludes empirical research; mechanistic multiscale modeling to reveal emergent properties of the soil/plant/atmosphere continuum in future climates. Computational expertise in Artificial Intelligence and Machine Learning (AI/ML), and expertise in High Performance Computing (HPC) is a plus. The successful candidate's research will focus on agroecosystems and we are particularly interested in candidates whose research may be applied to enhance agricultural productivity, ecosystem services, and sustainability in the context of climate change. It is also expected that the candidate exploit and catalyze transdisciplinary collaborative opportunities with colleagues in several areas of strength at Penn State, including Information and Computer Sciences, Statistics, Geosciences, Engineering, the Microbiome Center, the Institute for Sustainable Agricultural, Food, and Environmental Science, and the Center for Root and Rhizosphere Biology. Teaching responsibilities will include advanced and undergraduate courses in Plant Science. Candidates will be evaluated on their potential for publishing high impact work relevant to global issues, obtaining extramural funding, teaching excellence, and collaboration in research and teaching within and outside the Department of Plant Science and ICDS. The Department of Plant Science is housed within the College of Agricultural Science and is home to close to 50 faculty members whose efforts are focused on advanced research, teaching and extension/outreach in plant science and has a strong commitment to fostering diversity, equality and inclusive excellence in all activities. The department has considerable strength in root and rhizosphere biology, plant response to stress and climate resilience, plant The Institute for Computational and Data Sciences (ICDS), one of five university-wide interdisciplinary institutes, is home for advanced interdisciplinary computation and data-enabled collaborative science at Penn State. ICDS fosters both high-impact computational and data science methodologies as well as their applications to address a broad range of scientific and societal challenges, multifaceted models, and their societal impacts. ICDS supports a vibrant community of scholars, which includes more than 30 co-hired faculty and over 300 affiliated researchers with access to ICDS advanced research computing infrastructure called Roar and a cadre of technical experts, research scientists, and engineers. Appointment Conditions: Penn State is committed to supporting the work-life balance of its faculty members. Penn State is also committed to and accountable for advancing diversity, equity, and inclusion with an emphasis on structurally contingent identities such as race/ethnicity, gender, class, sexual orientation, and national origin. We foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and Responsibilities Required Qualifications Candidates must demonstrate
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