Assistant Professor of Applied Economics for Healthy Ecosystems

Assistant Professor of Applied Economics for Healthy Ecosystems
(9 month, Tenure Track, 70% Instruction, 30% Research)

The Department of Natural Resources and Environmental Management (NREM) in the College of Tropical Agriculture and Human Resources (CTAHR) at the University of Hawaii Manoa has a vision to integrate natural and social science disciplines to better solve applied problems and achieve sustainability and resiliency. We seek a colleague with applied economics training to join our interdisciplinary department.

We seek someone who will apply cutting edge modeling and statistical techniques as part of a novel, integrative research program that is relevant to Hawaii’s and Pacific Islands’ sustainability and resiliency (e.g., food security, forestry, island food systems, coastal systems, energy systems, adaptation). These integrative areas of inquiry are urgent, as we face a new agricultural economic era in Hawaii, alongside increasing competing demands for resources (i.e., tourism, population growth, conservation) and intensifying local and global threats (e.g., climate change, inward oriented trade policies, invasive species).

Our ideal colleague will contribute knowledge and tools that complement and strengthen the department, college, and university (e.g., data science, systems modeling, policy analysis). The person will be excited to support undergraduate and graduate research and employment preparation by teaching analytical study designs (e.g., quasi-experimental techniques), statistical approaches (e.g., mixed effects models), and system modeling approaches (e.g. system’s behavior and structure modeling).


Instruction (70%): Develop a series of innovative courses for undergraduate and graduate students in applied statistics and system modeling. Teach core courses NREM 203 and 310 and/or co-teach other NREM courses such as NREM 429 (Spreadsheet Modeling for Business and Economic Analysis).

Research (30%): Develop a globally-recognized research program that leverages cutting edge statistical and system modeling approaches to address urgent problems in resource and environmental management, with a focus on the food and natural resource sustainability and resiliency of Hawaii and the Pacific Island region. Research applications might include food security, forestry, food systems, energy systems, and/or coastal resources.

Minimum Qualifications:

Minimally, the candidate will have: a PhD in applied economics and quantitative modeling, such as agricultural economics, resource economics, economic development; interdisciplinary agriculture, resource and environmental science training; strong skills in quantitative reasoning and statistical/modeling programming, demonstrated by a record of relevant research and teaching; a record of peer-reviewed publications and presentations consistent with the candidate’s career stage; the potential to build a productive research program, including ability to secure competitive funding; teaching experience at the college level; excellent communication skills; and strong interest in agriculture, natural resource and environmental management issues in Hawaii and the Pacific Region.

Desirable Qualifications:

Ideally, the candidate will have: demonstrated commitment to programmatic curricular development and teaching excellence; a record of successful grant preparation and administration; postdoctoral research experience; experience with interdisciplinary collaboration; ability and willingness to instruct students via distance-learning methods; experience working in Hawaii and the Pacific; experience working in tropical island
systems; and success in mentoring students at graduate and undergraduate levels, as
demonstrated by student publications and placement in post-graduation positions.

To begin in August 1, 2019, for best consideration, all application materials should be received by January 15, 2019.

To apply: Visit and search for Position number 83848 to submit application.

For inquiries: Dr. Catherine Chan,

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