Post Doctoral Research Associate (S03998P)

University of Texas at Arlington
Arlington, TX Full Time
POSTED ON 9/26/2022 CLOSED ON 11/12/2022

Job Posting for Post Doctoral Research Associate (S03998P) at University of Texas at Arlington

Posting Details

Position Information

Posting Number
S03998P

Position Title
Post Doctoral Research Associate (S03998P)

Department
Civil Engineering

Location
Arlington

Job Family
Research

Position Status
Full-time

Work Hours
Standard

Work Schedule
Monday-Friday; 8:00am-5:00pm.

Open to
External and Internal

FLSA

Salary
$50,000/year

Duration
Job terminates

Pay Basis
Monthly

Benefits Eligible
Yes

Job Summary
The Civil Engineering Department at the University of Texas at Arlington invites applications for a postdoctoral scholar position (renewable for up to 4 years duration) funded by a new NSF Smart and Connected Communities grant (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2231557). The project will examine how distributed sensor technologies can be integrated into multi-level, regional decision-making networks to build community adaptive capacity to environmental and industrial hazards. The postdoc will work with Dr. Michelle Hummel (https://mhummel1.wixsite.com/website).

Essential Duties and Responsibilities
  • The postdoc will assist with project activities such as: deploying and validating environmental sensors; applying geospatial, statistical, and machine learning methods to analyze and synthesize large environmental datasets; developing process-based models to predict coastal hazards; creating data products for dissemination to diverse project stakeholders; and publishing research findings in peer-reviewed journals.
  • The postdoc will have the opportunity to work with an interdisciplinary team of engineers, architects, and social scientists and to engage with community-based organizations in the Coastal Bend Region of Texas.

Required Qualifications
  • Candidates must have earned a doctoral degree in civil/environmental engineering or a related field.
  • Desired qualifications include (i) a strong theoretical background in fluid mechanics and coastal processes, (ii) experience applying machine learning methods to environmental datasets, (iii) experience running numerical and/or machine learning models on high performance computing (HPC) systems, (iv) experience conducting field observations, (v) strong written and oral communication skills and a demonstrated publication record, and (vi) experience working in interdisciplinary teams.
  • UT Arlington and Dr. Hummel’s research group are committed to promoting a diverse, equitable, and inclusive research and learning environment.
  • Candidates from underrepresented groups in STEM are encouraged to apply.

Preferred Qualifications

Working Conditions

Special Conditions for Eligibility

Working Title

EEO Statement

UTA is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation. A criminal background check will be conducted on finalists. The UTA is a tobacco free campus.


Posting Detail Information

Number of Vacancies
1

Desired Start Date

Open Date

Review Start Date

Open Until Filled

Special Instructions to Applicants
Applicants should submit a CV and a cover letter summarizing the candidate’s interest in the position and relevant experience.

Requirement Questions

Required fields are indicated with an asterisk (*).

Documents Needed To Apply

Required Documents
  • Resume or CV
  • Cover/Interest Letter
Optional Documents

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$69,524 to $85,095
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