Research Associate, College of Agriculture and Natural Resources
Michigan State University has been working to advance the common good with uncommon will for more than 150 years. One of the top research universities in the world, MSU focuses its vast resources and collaborative power on creating solutions to some of the world’s most pressing challenges, while providing life-changing opportunities to a vibrant and diverse community of students and scholars, athletes and artists, scientists and leaders.
Posting Number: 5169
Internal Posting Date: 03-27-2017
Internal Closing Date: Open Until Filled
External Closing Date: Open Until Filled
Review of Applications begins on: 04-25-2017
Job Title: Research Associate
Multiple Position Numbers:
Multiple Position Numbers: No
Major Administrative Unit/College: College of Agriculture and Natural Resources
Primary Department: 10002344 FISHERIES & WILDLIFE
Position Employee Group: Fixed Term Academic Staff-FAS
Appointment Basis: Annual Year, 12 months
Appointment Status: Fixed Term Academic Staff
Employment %: 100
Varied Work Hours (if applicable):
Limited Term/Flexible Appointment/Off-Date Information:
Faculty: Salary Range Support Staff: Pay Minimum Salary Commensurate with Experience
If flex, dates of annual flex leave:
Pay Grade Level:
Position Summary: Innovative and highly motivated candidates with strong track records of research productivity are invited to apply for a Postdoctoral Research Associate position with the Center for Systems Integration and Sustainability (CSIS) in the Department of Fisheries and Wildlife at Michigan State University. The position will involve interdisciplinary research that integrates spatial, socioeconomic, and environmental sciences, with a focus on the operationalization of the telecoupling framework (socioeconomic and environmental interactions between coupled human-natural systems over distances, http:///www.telecoupling.org). The successful candidate will have opportunities to work and collaborate on one or more of the following tasks:
Develop spatially-explicit models and tools to describe and quantify socioeconomic and environmental interactions between coupled human-natural systems, compile and collect socioeconomic and environmental data at local, regional, national, and international scales to quantify various factors affecting feedbacks between global food security and land use, analyze and synthesize multi-scale data to understand relationships among various factors to facilitate modeling of feedbacks between food security and land use, modify or integrate existing global trade modeling approaches (e.g. GTAP, PEATSim) into the telecoupling framework using data and analyses listed above to allow simulation of long-term consequences for land use and food security under various scenarios (e.g., various decisions and policy options regarding land use and food security, changes in population size, climate, urbanization, biofuel demand etc.).
This is an exciting opportunity to join a dynamic interdisciplinary group with collaborators in Brazil, China, UK, US, and other countries. Selected candidates will have a unique opportunity to develop and expand collaborations within the Center and across international research groups. Preferred applicants will already have an interdisciplinary background with experience integrating GIS with analytical approaches from the economic, social, geographic, ecological, or/and agricultural sciences; have some basic experience in spatial analysis/modeling and good programming skills (e.g. Python, R, or C++); and have excellent communication skills.
This position is initially for one year, renewable depending on performance and funding. A competitive salary and benefit package will be offered commensurate with experience.
Faculty: Minimum Qualifications Support Staff: Minimum Requirements Doctorate degree in related field. Preferred applicants will already have an interdisciplinary background with experience integrating GIS with analytical approaches from the economic, social, geographic, ecological, or/and agricultural sciences; have some basic experience in spatial analysis/modeling and good programming skills (e.g. Python, R, or C++); and have excellent communication skills.
Typing Requirements (wpm):
Desired Qualifications: Doctorate degree in computer science and engineering, conservation, ecology, economics, geography, environmental science, international trade, land science, spatial science, systems modeling and integration.
Summary of Health Risks and Physical Demands (if applicable):
Required Applicant Documents: Resume/CV
Optional Applicant Documents:
Number of Reference Letters Required: No letters required
Special Instructions to Applicants: Application materials should include: (1) letter of application, (2) statement of professional goals and research experiences/interests (e.g., how experiences and interests fit with the tasks listed above), (3) CV or resume, (4) transcripts (unofficial ones are OK initially), (5) list of 3-4 references (names and contact information), and (6) up to three representative publications, models or software programs developed by the applicant.
Applicants are encouraged to submit their application materials as soon as possible. Applications are welcome until a suitable candidate is identified. Reviews of applications will begin on April 25, 2017. Start date is relatively flexible. Questions should be emailed to:
Dr. Jianguo (Jack) Liu
Rachel Carson Chair in Sustainability
Center for Systems Integration and Sustainability
Michigan State University
East Lansing, MI 48823-5243, USA
Department Website Address:
Name/Title/Email Address of Search Committee Chair: Jianguo (Jack) Liu/Professoremail@example.com
If flex, dates of annual flex leave:
If flexible appointment, indicate end date of annual flex leave:
If flex, number of months worked per year:
Web Address for Posting: jobs.msu.edu/applicants/Central?quickFind=70238
Union Affiliation: Non Union
MSU is an affirmative action, equal opportunity employer. MSU is committed to achieving excellence through cultural diversity. The university actively encourages applications and/or nominations of women, persons of color, veterans and persons with disabilities.