We are seeking to fill three positions at the University of Michigan for 
the Great Lakes Environmental Assessment and Mapping Project (GLEAM - 
http://www.snre.umich.edu/greatlakesthreats/)

The first is a full-time, one-year position at the post-MS or post-doc 
level.  The second is a part-time, one-year position at the pre-doctoral 
level.  The third is a full-time summer position at the undergraduate or 
recent-graduate level.  All are desired to begin around 1 May 2010. Please 
see below for details, and contact Peter McIntyre ([email protected]) 
with questions.

1) Research Area Specialist Intermediate

A full-time, one-year position beginning May 1, 2010 to assist in the 
development of spatial analyses that portray and synthesize patterns of 
environmental stressors in the Laurentian Great Lakes. 

DUTIES:
Search for and acquire data sets on environmental stressors in the Great 
Lakes using available data bases such as STORET, NADP, census data etc., 
and data acquired from relevant experts.

Perform statistical analyses on data bases to screen for outliers, search 
for relationships by correlation analysis and reduce the total number of 
variables by techniques such as principal components analysis.

Synthesize data and construct statistical models to predict the spatial 
distribution of environmental threats such as nutrient runoff, nuisance 
algal blooms, etc. using multivariate techniques.

Construct stressor maps within ArcGIS to depict the spatial distribution 
of environmental stressors using geostatistical techniques.

Interact with other team members based at the University of Michigan and 
the core working group of GLEAM (see 
http://www.snre.umich.edu/greatlakesthreats/).   Provide documentation and 
written summaries of all work carried out.

Manage the distribution, analysis, and summary of surveys of Great Lakes 
experts regarding stressor impacts.

Provide day-to-day management of the project, including overseeing 
workshops, leading correspondence with working group members and other 
experts, and serving as the liaison between project PIs and staff 
assistants.

REQUIRED QUALIFICATIONS: Advanced degree (both M.S. and Ph.D. will be 
considered) in ecology, natural resources, or related fields with 
substantial graduate-level course work in statistics and GIS, or 
equivalent work experience.  Excellent communication skills, both oral and 
written.  Strong organizational skills, including attention to detail and 
accuracy.  Excellent interpersonal skills for interaction with both senior 
and junior colleagues.  The ability to work individually and as part of a 
team to meet deadlines in a multi-tasking environment.  Good computing 
skills in Windows environment, including ArcGIS.  Well-developed 
quantitative skills for developing and synthesizing spatial data.

DESIRED QUALIFICATIONS: Advanced training in GIS.  Experience in data 
processing, statistical analysis, and programming. Demonstrated ability to 
learn and use new computer software quickly and effectively.  Experience 
with public and stakeholder outreach through personal meetings, workshops, 
and web-based formats.  Prior research experience, including evidence of 
project completion and publication in the peer-reviewed literature.  
Familiarity with Great Lakes restoration and conservation issues, and 
aquatic ecosystem management.

BENEFITS:  Pay will be commensurate with experience (mid 30’s-mid 40’s), 
and will include an excellent benefits package.  Funding is available for 
one year, with the possibility of extension pending performance and 
continued funding.  The selected candidate will report to Prof. David 
Allan, lead-PI of the project. 

This position will be very rewarding for a candidate who enjoys mixing 
individual leadership and teamwork in the context of quantitative 
analysis.  The project combines scientific rigor with a broad vision for 
guiding on-the-ground management of the Great Lakes, thereby providing 
professional development in both basic and applied science.  The selected 
candidate will have the opportunity to lead-author at least one manuscript 
from the project, and to be closely involved in developing a suite of 
products to disseminate project results (scientific papers, website, 
pamphlets).

The position requires full-time residence in Ann Arbor, based in the 
School of Natural Resources & Environment at the University of Michigan.  
Ann Arbor is a mid-sized city (110,000 residents) renowned for high 
quality of life and affordability.  It is an easy drive from the other 
major cities of southern Michigan, including Detroit (30 minute drive).  
The Detroit airport is a major hub for air traffic, and is 25 minutes 
away.  Ann Arbor offers a four-season climate, abundant outdoor 
recreational opportunities, a variety of entertainment options, and 
substantial cultural diversity.  The University of Michigan is one of the 
top public research universities in the country, and the School of Natural 
Resources & Environment is a leader in innovative, interdisciplinary 
approaches to conservation and restoration.

APPLICATION PROCESS: To apply for the position please submit a detailed 
letter of application, names and contact information for two references, 
and a curriculum vitae to the University of Michigan careers website at 
http://umjobs.org/, reference job posting number 39244.

Questions about this position are welcomed.  Please address questions to 
Dr. Peter McIntyre, [email protected]  

The University of Michigan, as an equal opportunity/affirmative action 
employer, complies with all applicable federal and state laws regarding 
nondiscrimination and affirmative action.

____________________________________________________________

2) Project support staff (Research Assistant I level)

We seek to fill a part-time position (15-20 hours/week, on average) to 
begin May 1, 2010 and continue through July 2011 to support an assessment 
of environmental stressors in the Laurentian Great Lakes (see 
http://www.snre.umich.edu/greatlakesthreats/).   

DUTIES:
Organize meetings of the working group including making reservations for 
workshop meeting site with food service, air travel, lodging, and related 
logistics; and manage reimbursement claims.

Provide support to staff responsible for data analysis and mapping tasks, 
and carry out basic GIS analyses.

Conduct correspondence (email, phone) with the working group, data 
providers, and other experts. 

Maintain project website and wiki site.  Assist with preparing graphics 
and reports of project results.


REQUIRED QUALIFICATIONS: Bachelor degree in ecology or related fields with 
course work in GIS, or equivalent work experience.  Excellent 
communication skills, both oral and written.  Strong organizational 
skills, attention to detail and accuracy.  Excellent interpersonal skills. 
The ability to work as part of a team or individually while reliably 
meeting deadlines in a multi-tasking environment. Good computing skills in 
Windows and ArcGIS environments.

DESIRED QUALIFICATIONS: Advanced training in GIS. Website and wiki 
management skills.  Experience in data processing or analysis.  
Demonstrated ability to learn and use new computer software quickly and 
effectively.  Prior research and programming experience.

BENEFITS:  Pay will be commensurate with experience ($10-15/hr).  Benefits 
will not be available.  The selected candidate will report to Prof. David 
Allan, lead-PI of the project. 

This position will be very rewarding for a candidate who enjoys working in 
a medium-sized team, and seeks experience at the interface between basic 
and applied environmental science.  The project combines scientific rigor 
with a broad vision for guiding on-the-ground management of the Great 
Lakes, thereby providing exposure to a range of potential career 
pathways.  The selected candidate will be closely involved in developing a 
suite of products to disseminate project results (scientific papers, 
website, pamphlets).

The position is based in Ann Arbor at the School of Natural Resources & 
Environment of the University of Michigan.  Ann Arbor is a mid-sized city 
(110,000 residents) renowned for high quality of life and affordability.  
It is an easy drive from the other major cities of southern Michigan, 
including Detroit (30 minutes).  The Detroit airport is a major hub for 
air traffic, and is 25 minutes away.  Ann Arbor offers a four-season 
climate, abundant outdoor recreational opportunities, a variety of 
entertainment options, and substantial cultural diversity.  The University 
of Michigan is one of the top public research universities in the country, 
and the School of Natural Resources & Environment is a leader in 
innovative, interdisciplinary approaches to conservation and restoration.

APPLICATION PROCESS:  To apply, please send a detailed cover letter 
explaining your special qualifications, contact information for two 
references, and a current CV to Dr. Peter McIntyre, [email protected]

Questions about this position are welcomed.  Please address questions to 
Dr. Peter McIntyre, [email protected]  
 

__________________________________________________________________

3) Summer research assistant (Research Assistant I level)

We seek a current undergraduate or recent graduate to work over the summer 
as part of the Great Lakes Environmental Assessment and Mapping Project 
(GLEAM, please see http://www.snre.umich.edu/greatlakesthreats/).  The job 
will entail two major tasks: 1) reviewing the peer-reviewed and grey 
literature to produce summary reports on the impact of each of ~35-40 
types of human activities upon Great Lakes ecosystems, and 2) navigating 
through Google Earth imagery to identify certain man-made structures along 
the shorelines of all 5 Great Lakes.  

The successful applicant will possess strong communication skills (oral 
and especially written), a commitment to careful and scholarly work, 
excellent organizational skills, and an interest in the Great Lakes.  The 
position will be based at the UM School of Natural Resources & 
Environment, and requires weekly reporting to Prof. David Allan.  We 
expect that the tasks will require full-time effort (40 hr/wk) for 
approximately 3 months (dates flexible).  The pay rate will be 
approximately $10/hr, but a higher rate may be possible for an 
exceptionally well-qualified candidate.

To apply, please send a detailed cover letter explaining your special 
qualifications, contact information for two references, and a current CV 
to Dr. Peter McIntyre, [email protected]

Questions about this position are welcomed.  Please address questions to 
Dr. Peter McIntyre, [email protected]

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