[ES_JOBS_NET] Post-doctoral position, GIS/remote sensing wetland hydrology and carbon cycling, USGS Northern Prairie Wildlife Research Center

[Christine Wiedinmyer]

"Non-US citizens may be eligible to participate, depending on their

immigration status and the applicable regulations of the U.S. Citizenship

and Immigration Service. Before OAG can issue an order for services of

anyone without a Social Security Number (SSN) or with restrictive markings

on his/her Social Security Card, the student must provide documentary

evidence from USCIS of authority to work in the US. Foreign students in the

U.S. under F-1 visas are usually not able to participate in this program,

due to USCIS restrictions on off-campus work [8 CFR 214.2 (f)(9)]. (Note:

In no case is the USGS the legal "employer" of students working under this

authority, so we must never sign immigration forms as such. The student is

either an independent contractor or is retained by the institution or

non-profit organization receiving the award.)"

 

Thank you,

Sheel

 

On Fri, Jun 29, 2018 at 1:03 PM Sheel Bansal <sbansal at usgs.gov wrote:

 

Hello,

I would like to post the following position.

Thank you,

Sheel Bansal

 

-----------------------------------

Post-doctoral position, GIS/remote sensing wetland hydrology and carbon

cycling

 

Description:

A post-doctoral, student service contract position focused on GIS/remote

sensing based modeling of wetland hydrology and carbon cycling in the

Prairie Pothole Region of central North America is available with the U.S.

Geological Survey Northern Prairie Wildlife Research Center. The Prairie

Pothole Region contains millions of wetlands are biogeochemical hotspots,

emitting greenhouse gases and sequestering carbon. We aim to develop

spatially-explicit models of biogeochemical and ecological processes using

combinations of field data, publicly available GIS layers, and remotely

sensed data. The student contractor will work with scientists at Northern

Prairie (Sheel Bansal, Max Post van der Burg) and other USGS scientists as

part of a team to develop novel ways to combine field, remote sensed data,

and statistical models to scale from point-based process experiments to the

landscape.

 

Qualifications:

The ideal candidate should have experience conducting GIS analyses using

multiple open source and commercial software packages such as qGIS, GRASS,

ArcGIS and especially R. Experience using remotely sensed data products to

monitor vegetation, hydrology, soils, and land-use as well as basic

knowledge of mathematical and statistical modeling is required. Candidates

with additional experience in computer programming languages such as Python

or C++ are preferred. However, previous knowledge of wetland carbon cycling

is not required.

 

Application:

One-year contract position with potential for extension. The successful

applicant will work approximately 40 hrs per week. Review of applicants

will begin immediately on a rolling basis and continue until the position

is filled. Start date is flexible. Applicants must have graduated within

the last year to be eligible. Applications should include: 1. cover letter,

2. CV (include name, address, contact phone number and email), 3. copies of

representative publications, 4. transcript (unofficial is acceptable), and

5. most recent diploma/degree (can be on transcript or a copy of diploma),

6. contact information for two or three references.

 

Pay rate: $37.81/hr (~$79,000/year)

Location: Jamestown, ND

Requirement: Must have received PhD within 12 months of start of position

Starting date: Aug?Oct 2018, applications accepted immediately

Contact: Sheel Bansal; sbansal at usgs.gov

 

Send application to:

             e-mail to sbansal at usgs.gov

             mail: 8711 37th St. SE, Jamestown, ND 58401

 

Disclosure: Students are paid for each hour worked. Students will be

working as independent contractors and do not receive a premium rate for

work beyond 8 hours/day or 40 hours/week. Additionally, students are paid

only for hours worked (with no holiday or personal leave benefit

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