Company

The Texas A&M Transportation InstituteSee more

addressAddressBryan, TX
type Form of workFull-Time
CategorySales/marketing

Job description

Job Title
Postdoctoral Research Associate
Agency
Texas A&M Transportation Institute
Department
Research & Implementation - San Antonio
Proposed Minimum Salary
Commensurate
Job Location
Bryan, Texas
Job Type
Staff
Job Description
Who are we?
The Texas A&M Transportation Institute (TTI) is an agency of the State of Texas and member of The Texas A&M University System. For 70 years, TTI has addressed complex transportation challenges and opportunities with innovation, objectivity, and unmatched technical expertise. Our staff delivers excellence, value and thought leadership to ensure our research sponsors achieve their goals.
Our Mission and Vision
Our Vision - TTI leads in the creation of knowledge that transforms transportation for the benefit of society.
Our Mission - TTI delivers practical, innovative and sustainable solutions to improve the movement of people, data and goods through research, education and technology transfer.
Our Work Environment
Entrepreneurial culture
Affiliation with Texas A&M University students and faculty
Ability to work with nationally recognized experts
Ability to help train the next generation of transportation professionals
Premier office and research facilities and equipment
Accredited laboratories and safety proving ground
Outstanding research support services
Flexible work hours
Family friendly
High staff retention rates
Leadership development and wellness programs
Data allowance and home office equipment reimbursements
Relocation assistance (if eligible)
Tuition reimbursement program (if eligible)
Our Employee Benefits
TTI employees can choose from several health coverage options offered by The Texas A&M University System for themselves and their families, as well as numerous other benefit programs.
https://www.tamus.edu/business/benefits-administration/
What you need to know
  • Due to the nature of this position, the incumbent in this position will be required to be 100% in office.
  • The salary range for position is commensurate. Final salary will be determined based on the applicant's qualifications and experience.
  • This is a 12 month full time position. The position will be evaluated at the end of the 12 month employment period to determine continued employment based on program needs and funding availability from research contracts. If employment is extended a new offer letter will be provided at the time.

Job Summary:
This is the entry level of professional work requiring a Ph.D. degree in an engineering or scientific discipline. The primary purpose of this position is to contribute to research projects and lead or participate in research proposals. The incumbent will focus primarily on processing and analyzing traffic monitoring data. The position requires strong background in big data analytics, statistical modeling, and machine learning methods. Continuation in this position is contingent upon availability of funding derived from research program or specific projects.
Essential Duties:
  • Processing, managing, and analyzing big data such as traffic volume and probe data. 30%
  • Applying and validating statistical and machine learning methods. 30%
  • Preparing technical reports, guides, and other research deliverables.20%
  • Preparing research papers and articles.5%
  • Managing project tasks, activities, schedule, budget, and resources.5%
  • Presenting research results to sponsors and other stakeholders at conferences or other events. 4%
  • Leading or participating in research proposals. 4%
  • Other duties as assigned. 2%

Required Education & Experience:
  • Ph.D. in Computer Science, Civil Engineering, Electrical Engineering or other related field.
  • No prior experience required

Preferred Qualifications:
  • Three (3) years of full-time experience in big data analytics, statistical modeling, and machine learning methods.
  • Good understanding of FHWA's traffic monitoring guide (TMG).
  • Demonstrated experience in analyzing big data and applying statistical and machine learning methods using R, Python, or other programming languages.

Knowledge, Skills and Abilities:
  • Proficiency in R or Python.
  • Good understanding of GIS tools such as ArcGIS or QGIS.
  • Prefer good understanding of FHWA's traffic monitoring guide (TMG).

Physical Requirements:
  • Ability to perform common office functions.
  • Ability to frequently communicate with other individuals within the workplace.
  • Ability to constantly operate a computer and other office productivity machinery.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer.
Refer code: 7208470. The Texas A&M Transportation Institute - The previous day - 2023-12-17 19:54

The Texas A&M Transportation Institute

Bryan, TX
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