Jobs:Job-01696
Start reviewing process: 9 November 2024
Posting:
Position: Postdoctoral Fellow
Start reviewing process: 9 November 2024
Apply online:
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Purpose
We are looking for a highly motivated researcher to fill a Postdoctoral Fellow position (minimum one-year term with extensions subject to performance and research program needs/funding). The successful candidate will assist with a new research program focused on applying remote sensing imagery to map environmental and social changes in disadvantaged communities (colonias) in Texas. A key focus of the research program is to utilize remote sensing data (e.g., Landsat, Sentinel-2, Planet), and machine learning techniques to map changes in these communities through time. The successful candidate will become an integral part of the BEG Water Resources Group and contribute to impactful research addressing critical environmental and social issues in Texas colonias.
Responsibilities
- Work with remote sensing datasets, including Landsat and high-resolution products. Apply data analytics and machine learning techniques to map and interpret data using geoprocessing tools and GIS platforms, including Google Earth Engine and ArcPy. Map the evolution of colonias over time and analyze social and environmental stressors, including floods, on resident populations.
- Contribute to publication of scientific papers, present findings at scholarly meetings, and coordinate with stakeholders.
- Collaborate with research program team members and participate in program development through proposals and other fund raising.
- Provide support and service, as needed, to the supervisor, BEG, and the Jackson School, when possible.
Required Qualifications
Ph.D. awarded May 2022 or later in Earth Science (e.g. Hydrology, Hydrogeology, Geology, Geography), Civil Engineering, or closely related field. Expertise in remote sensing data products and their environmental applications. Proficiency in data wrangling, analytics, synthesis, and management. Knowledge of machine learning approaches, programming languages (e.g., Python, R, Matlab) and geoprocessing analytics (e.g., ArcGIS, QGIS, Google Earth Engine). Adaptability to apply skills in environmental data analytics to other topics related to water resources and the environment. Proven ability to effectively disseminate project results to peers and stakeholders. Experience working within an integrated team of scientists, engineers, and economists in a dynamic environment. Experience meeting deadlines. Excellent written and oral communication skills. Professional demeanor and excellent interpersonal skills.
Degree must have been obtained within 3 years from date of hire.
Preferred Qualifications
Project relevant experience and demonstrated aptitude with: (a) assembling and synthesizing disparate remote sensing products for mapping building/infrastructure development, (b) assessing vulnerability to environmental hazards such as flooding, (c) artificial intelligence/machine learning techniques applied to mapping urban development, land cover change, building footprints, and flood exposure. Familiarity with social vulnerability metrics.
Salary Range
$70,000+ depending on qualifications
Working Conditions
- May work in all weather conditions
- May work in extreme temperatures
- May work around standard office conditions
- Repetitive use of keyboard at a workstation
- Occasional weekend, overtime, and evening work to meet deadlines
- Field work as necessary
Required Materials
- Resume/CV
- 3 work references with their contact information
- Letter of interest
Employment Eligibility:
Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
Employment Eligibility Verification: