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Assistant Professor of Internet-of-Things and Ecological Analytics - Purdue University Department of Forestry and Natural Resources

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The Department of Forestry and Natural Resources at Purdue University in West Lafayette, Indiana, is seeking applicants to develop a leading research and education program focused on ecological analytics and the advancement of natural resource management using data derived from an Internet of Things (IoT) (

RESPONSIBILITIES: This is a tenure-track, academic-year position. The successful candidate will be expected to develop a leading, extramurally funded research program in the area of IoT and ecological analytics, such as the development of IoT components and architecture, analytical and pedagogical approaches involving IoT and big data, and ecological analytics or related analytical procedures. The ideal candidate will develop novel methods and tools to integrate diverse data across a variety of ecological domains, IT platforms, and analytical frameworks, such as those found in high-performance computing or big-data environments. Analytical efforts focusing on data fusion, visualization, forecast modeling, or data mining are all desirable areas of scholarship. Interdisciplinary collaboration across the department’s diverse natural resources faculty will be essential. Duties of the IoT position include developing upper division and/or graduate courses in IoT and ecological analytics, as well as providing lecture modules on IoT/data analytics where appropriate in undergraduate courses currently taught to departmental majors. Depending on preferences of the successful candidate, a minority joint appointment in another academic department may be available. Relationships with Purdue research centers and initiatives are also encouraged.

QUALIFICATIONS: A Ph.D. in statistics, computer science, geospatial analytics, or artificial intelligence with demonstrated knowledge of ecology and environmental science, or a Ph.D. in an ecological discipline with demonstrated expertise and experience in developing and implementing IoT-based analytics at a high level.

SALARY: Commensurate with experience, qualifications, and previous accomplishments.

CLOSING DATE: December 1, 2018, or until filled.

APPLICATION PROCESS: Submit: 1) letter of application, 2) statement of research goals and objectives in this position (two pages maximum), 3) statement of teaching philosophy (two pages maximum), and 4) curriculum vitae that includes a complete publication list, including the names and contact information for at least three professional references. FNR is committed to advancing diversity in all areas of faculty effort, including scholarship, instruction, and engagement. Candidates should address at least one of these areas in their cover letter, indicating their past experiences, current interests or activities, and/or future goals to promote a climate that values diversity and inclusion.

Questions may be directed to the Search Committee Co-Chairs, Dr. Bryan Pijanowski (via telephone at 765-496-2215 or email or Dr. Songlin Fei (via telephone at 765-496-2199 or email Application packets should be emailed to Marlene Mann ( A background check will be required for employment in this position.

Purdue University is an EOE/AA employer. All individuals, including minorities,
women, individuals with disabilities, and veterans are encouraged to apply.