[ES_JOBS_NET] Forest Ecology Field Technician Positions at the Teakettle Experimental Forest in California

[ES_JOBS_NET] Term Faculty Position in Civil Engineering – George Mason University

Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering

Non-Tenure Track Faculty in Structural Engineering

The George Mason University Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, within the Volgenau School of Engineering, invites applications for a non-tenure track assistant professor position in structural engineering
beginning fall 2018. Higher ranks may be considered for exceptionally strong candidates.

As Virginia’s largest public research university, Mason has recently achieved Carnegie Research I status and is eager to build on its reputation of conducting research of consequence. The university has an institutional commitment to achieving excellence and
diversity among its faculty and staff and encourages candidates who will enrich its academic and culturally inclusive environment to apply. 

Responsibilities: 

This position requires teaching excellence in structural engineering at the graduate and undergraduate levels, as well as in other related specializations
within civil engineering. The successful candidate will be expected to develop and teach undergraduate and graduate courses in several structural engineering areas such as, statics, mechanics of materials structural analysis, reinforced concrete design, structural
steel design, civil engineering materials, finite element analysis, structural health monitoring, senior capstone design, etc. The position also entails commitment to mentoring students and an interest in department administration and outreach. 

Preferred Qualifications:

Industry experience is desirable and applicants holding or working towards a P.E. license are especially welcomed. 

About Us: The Future of Engineering Is Here

The Volgenau School of Engineering is a fast-growing force for innovation in technology and education. The school enrolls approximately 7,300 students in 35 bachelor’s, master’s, and doctoral degree programs, including several first-of-their-kind offerings.
As part of a nationally ranked research university, the school’s faculty conducted more than $22 million in sponsored research in the last year. Located in the heart of Northern Virginia’s technology corridor, Mason Engineering stands out for its focus on
emerging areas including big data, cybersecurity, healthcare technology, robotics, signals and communications, and sustainable infrastructure.

The CEIE Department offers the MS, MEng, and PhD, in addition to an ABET-accredited BS degree. During the last five years, the department has experienced tremendous growth in new research awards, and in enrollment
in the PhD program. Total enrollment across all degrees in CEIE has increased to 400 students. The Volgenau School of Engineering is committed to significant investment in expansion of the department faculty and to double the current
size within 5-10 years. The department has an enviable and strong relationship with industry, including over 30 companies and individuals working in partnership as the Civil Engineering Institute (http://ift.tt/2hDq6uZ),
a unique organization formed to support the mission and vision of the department. Further information about the department can be found on its web site at
http://ift.tt/2Eesoaq.

Instructions

For full consideration applicants must apply for position number F214AZ at
http://jobs.gmu.edu/; complete and submit the online application; and upload a cover letter, clearly stating their primary civil engineering specialization, CV, a brief personal statement (<500 words) describing the
applicant’s teaching and service philosophy in the context of the schools civil, environmental, and infrastructure engineering program (to be attached as Other Doc), and the names of three references with contact information. Review of applications will begin
on February 28, 2018, and will continue until the position is filled. Questions regarding the position should be directed to Dr. Sam Salem, Chair of the Sid and Reva Dewberry Department of Civil, Environmental and Infrastructure Engineering at
osalem@gmu.edu.

https://jobs.gmu.edu/postings/42362

Postdoc opportunity Center for STEM Research, Education, and Outreach, Southern Illinois University Edwardsville (SIUE)

Forward:

Colleagues,

Southern Illinois University Edwardsville (SIUE) has a position open for a post doctoral fellow in the Center for STEM Research, Education, and Outreach. The fellow will be a critical part of a collaborative research team studying the design and development of an out-of-school-time program for minority girls focused on computational thinking. The position will encompass all aspects of research, including designing and implementing protocols, recruiting and communicating with subjects, collecting and analyzing quantitative and qualitative data, writing reports for research agencies and research articles for peer reviewed publications, and presenting the research results at conferences. The fellow will also direct the work of a graduate research assistant.

Candidates should have a Ph.D. in STEM education, experience with mixed/qualitative research methods and/or design and development, and experience interacting with youth in informal settings. The ideal candidate will: 

·      be able to work independently and meet a variety of deadlines,

·      be flexible in adapting to changes in work flow, 

·      have a strong ability to communicate effectively (orally and in writing) with adult collaborators and youth program participants,

·      be able to follow-through on multiple project tasks with attention to detail, and

·      thrive in a collaborative work environment.

 The position is a full-time 12-month appointment with possibility of renewal.

Candidates with a strong commitment to the promotion of diversity in STEM and STEM education are encouraged to apply.

The SIUE STEM Center is a dynamic, team-oriented university research center established in 2010. We work with faculty members across the university and external partners to promote and support STEM education in the southwestern Illinois region and conduct research on teaching and learning that informs practice. Beautifully situated on 2,660 acres of rolling land and woods, SIUE is located 30 minutes from St. Louis, affording many opportunities for collaboration with other universities, industry, and community-based organizations.

More information about the position is available at http://ift.tt/2FgRcA8

[Met-jobs] Open position on Dust Modelling and Services in the Barcelona Supercomputing Center

We are looking for an aerosol (preferably dust) modeler willing to contribute to the implementation of several funded projects in the field of mineral dust. The successful candidate will develop different aspects of the MONARCH model, implement dust operational forecasts in different regions of the world, and undertake dust impact research in fields such as solar energy production.

The successful candidate will collaborate with scientists from the Atmospheric Composition and Earth System Services groups of the Barcelona Supercomputing Center (BSC) and will benefit from the training program and BSC staff benefits: international multidisciplinary scientific environment, advanced research training, and advanced computational facilities. We encourage applications from highly motivated physicists, engineers, mathematicians (and related disciplines) with outstanding qualifications.

Description of the position and the Application Form can be accessed at http://ift.tt/2C8q1sm

The vacancy will remain open until suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

[Met-jobs] Technical position open in the Barcelona Supercomputing Center on Atmospheric Composition Modelling

The Computational Earth Sciences Group of the Earth Sciences Department (Barcelona Supercomputing Center – Centro Nacional de Supercomputación, Barcelona, Spain) offers a technical position to support both computational and atmospheric composition engineers and researchers to run numerical model experiments using workflow managers and different shell or python scripts. The applicant will further develop and optimize the in-house workflow manager tool to execute complex ensemble-based model configurations in a robust, flexible and computationally-efficient way.

Description of the position and the Application Form can be accessed at http://ift.tt/2BByuDz

The vacancy will remain open until suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

[CRYOLIST] Faculty Position Opening Civil and Environmental Engineering Clarkson University

[ES_JOBS_NET] summer internship in Nantucket

Please see the attached advertisement for a field technician position in Nantucket, MA for summer 2018.

[Met-jobs] Four 4-year senior postdoc positions in Environmental Data Science | Lancaster University, UK

Environmental Data Science – 4 x Senior Research Associate Positions (4-years)
Lancaster University, Lancaster, UK

Closing date: Sunday 18 March, 2018

Salary: £33,518 – £38,832 (Grade 7)

The positions

Spatio-temporal extremes (Ref A2214)

Virtual Labs in the Cloud (Ref A2211)

Learning and Optimisation (Ref A2212)

Integrated statistical modelling (Ref A2213)

We welcome applications from people in all diversity groups, and are keen to
discuss job share opportunities with interested candidates. 

Requirements

Depending on the position, a PhD or equivalent degree in statistics or computer science (or closely-related fields) are required to be eligible. You will have a track record of high-quality publications in areas of relevance to the project and
the willingness to undertake ambitious and challenging research. See the job individual job descriptions above for further information.

Contact

Interested candidates are strongly encouraged to contact Prof. David Leslie in advance of making an application (d.leslie@lancaster.ac.uk).

General information – Data Science of the Natural Environment

Four post-doctoral research positions, each of four years, are available in an exciting, cross-disciplinary programme of research to develop and deploy a data science of the natural environment.
The project comprises data scientists, environmental scientists and a range of stakeholders, and will focus on methodological innovation in data science to tackle grand challenges around environmental change. This work is funded by the UK EPSRC under their New
Approaches to Data Science call. This is a prestigious and high profile award targeting a paradigm shift in the role of data in environmental science and in associated decision making. 

The research programme focuses on integrating spatio-temporal statistical models and extreme value methods, with Gaussian process emulation of deterministic and stochastic environmental process models, and Bayesian optimisation and other machine learning methods
leading through to decision support. All methodology will be deployed in a newly developed and open source virtual lab environment. 

You will develop novel approaches that address the particular data science demands in terms of understanding and managing the natural environment. The research will be driven by selected environmental grand challenges in the areas of ice sheet melt
prediction, air quality modelling and land use management.

We are particularly interested in applicants who are excited by working on environmental grand challenges and on the potential of working at the interface between disciplines in addressing these challenges. The research will
be varied and exciting, with the potential to shape an emerging field of real importance.

[ES_JOBS_NET] NOAA Climate & Global Change Postdoctoral Fellow

https://ucar.silkroad.com/epostings/index.cfm?fuseaction=app.jobInfo&version=1&jobid=218301

NOAA Climate & Global Change Postdoctoral Fellow

Tracking Code

18081

Job Description

NOAA Climate & Global Change Postdoctoral Fellow

The UCAR Cooperative Programs for the Advancement of Earth System Science (CPAESS) announce the 2018 call for applications for the NOAA Climate and Global Change Postdoctoral Fellowship Program. Several postdoctoral fellows will be appointed.

UCAR postdoctoral fellowship positions are for two years based on continued program funding. Successful applicants in this program work under the mentorship of host scientists in areas of mutual interest.

This position will be posted until April 6, 2018.

Relocation assistance is available for this position.

UCAR/NCAR will sponsor a work visa to fill this position.

What You Will Do

To help create and train the next generation of leading researchers needed for climate studies (see www.climate.noaa.gov). The program focuses on observing, understanding, modeling and predicting the climate variability and change on seasonal and longer time scales. This includes the documentation and analysis of past, current, or possible future climate variability and change and the study of the underlying physical, chemical, and biological processes.  NOAA’s Climate Program Office sponsors the program.

 

Responsibilities Include:

  • Conducts independent or collaborative research under a proposed plan related to the goals of the program.
  • Publishes and presents results of the research at seminars and conferences.
  • Pursues outside activities that advance professional growth, which may include contributing to educational programs, serving on committees, and attending workshops.

 

What You Need

  • Ph.D. degree related to climate change research; with
  • Preference given to those who are seeking their first fellowship and have held a Ph.D. for no more than three years.
  • Awardees must change institutions in the absence of compelling circumstances.
  • Ability to work independently and conduct research with minimal supervision.
  • Skill in oral and written communication.

APPLICATION INSTRUCTIONS:

Before you begin the OpenHire process please prepare your application in one (1) PDF document, in the order numbered below.

  1. Cover letter stating the name of this program, potential host and institution, and where you learned of this opportunity. Please also add a justification statement, if applicable, to explain any breaks in career path.
  2. Curriculum vitae including list of publications.
  3. Name, address, and email information of four professional references.

Note: Applicants are responsible for contacting their references to have letters sent to UCAR/CPAESS by the application deadline.

  • One letter must be from thesis advisor, but not from a potential host mentor.
  • Reference letters from more than one institution are encouraged.
  • References should refer to the Letters of Reference
  • Applications without four (4) letters are incomplete and may not be reviewed by the Steering Committee.
  • Reference letters should be sent to cpaess-apply@ucar.edu.

  1. PhD dissertation abstract, including title.
  2. Titled project description.

Note: Description must be titled and not exceed five pages including figures and appendices (minimum 12 pt. type size).

  • References are NOT included in this 5-page limit.
  • Proposals must describe an actual research project.
  • Applicant is encouraged to seek help from potential mentor(s) in writing the project description.

 

  1. Statement of relevance to the NOAA Climate and Global Change Program (one-page limit).
  2. Host Institution Materials – Host materials should be provided to applicant by 2 April and submitted as part of the application.(Please see How Hosting Institutions Apply for more information)
  • Your Statement of relevance should enhance and complement the research goals outlined at the NOAA Climate Programs Officewebsite, and
  • Address the broader impact of your research to the community at large.
  • Letter of Intent – in the case of specific laboratory needs, a letter should accompany the application from the specific institution willing to provide the resources.
  • Curriculum vitae
  • Mentoring Plan
  • List of current and pending research support

Step 1. To begin the application process, at the bottom of this page click “New Resume/CV.” The next page presents options for you to submit your materials. Select “Upload a resume/CV document.”

 

Step 2. You will then be prompted to submit your résumé or CV.  Click “Browse” to find your file on your computer. At this point, upload your complete application as one (1) PDF document.

 

Step 3.  Continue the application process as prompted. Step 4 of the online application process will ask you if you want to upload additional documentation. Ignore this step.

 

Questions on the OpenHire application process may be addressed to Randy Schalhamer at hrrecruiting@ucar.edu, or 303-497-8703.

Step 4. Please have reference letters sent by email to UCAR Cooperative Program for the Advancement of Earth System Science at cpaess-apply@ucar.edu:

  • Applicants are responsible for contacting four referees to have letters sent to UCAR/CPAESS by the application deadline. One letter must be from thesis advisor, but not from a potential host, and letters from more than one institution are encouraged. Referees should be directed to online reference requirements.

General questions regarding this fellowship program may be addressed to cpaess-apply@ucar.edu or 303-497-1605. 

 

The University Corporation for Atmospheric Research (UCAR) is an equal opportunity/equal access/affirmative action employer that strives to develop and maintain a diverse workforce. UCAR is committed to providing equal opportunity for all employees and applicants for employment and does not discriminate on the basis of race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy.

Whatever your intersection of identities, you are welcome at the University Corporation for Atmospheric Research (UCAR). We are committed to inclusivity and promoting an equitable environment that values and respects the uniqueness of all members of our organization.

Job Location

Various, Colorado, United States

Position Type

Full-Time/Regular

Appointment Type

Term Full-Time (T1)

[ES_JOBS_NET] Environmental Data Science – 4 x Senior Research Associate Positions (4-years), Lancaster University

Environmental Data Science – 4 x Senior Research Associate Positions (4-years)
Lancaster University, Lancaster, UK

Closing dateSunday 18 March, 2018

Salary: £33,518 – £38,832 (Grade 7)

The positions

Spatio-temporal extremes (Ref A2214)

Virtual Labs in the Cloud (Ref A2211)

Learning and Optimisation (Ref A2212)

Integrated statistical modelling (Ref A2213)

We welcome applications from people in all diversity groups, and are keen to discuss job share opportunities with interested candidates.

Requirements

Depending on the position, a PhD or equivalent degree in statistics or computer science (or closely-related fields) are required to be eligible. You will have a track record of high-quality publications in areas of relevance to the project and the willingness to undertake ambitious and challenging research. See the job individual job descriptions above for further information.

Contact

Interested candidates are strongly encouraged to contact Prof. David Leslie in advance of making an application (d.leslie@lancaster.ac.uk).

General information – Data Science of the Natural Environment

Four post-doctoral research positions, each of four years, are available in an exciting, cross-disciplinary programme of research to develop and deploy a data science of the natural environment. The project comprises data scientists, environmental scientists and a range of stakeholders, and will focus on methodological innovation in data science to tackle grand challenges around environmental change. This work is funded by the UK EPSRC under their New Approaches to Data Science call. This is a prestigious and high profile award targeting a paradigm shift in the role of data in environmental science and in associated decision making.

The research programme focuses on integrating spatio-temporal statistical models and extreme value methods, with Gaussian process emulation of deterministic and stochastic environmental process models, and Bayesian optimisation and other machine learning methods leading through to decision support. All methodology will be deployed in a newly developed and open source virtual lab environment.

You will develop novel approaches that address the particular data science demands in terms of understanding and managing the natural environment. The research will be driven by selected environmental grand challenges in the areas of ice sheet melt prediction, air quality modelling and land use management.

We are particularly interested in applicants who are excited by working on environmental grand challenges and on the potential of working at the interface between disciplines in addressing these challenges. The research will be varied and exciting, with the potential to shape an emerging field of real importance.