Job Details

TTU Post Doctoral Research Associate

Position Number: 6114874
Location: Lubbock, TX
Position Type: Laboratory and Research

TTU Post Doctoral Research Associate
Lubbock
40284BR
Geosciences

Position Description
Performs specialized Post Doctoral work in the planning, conducting and/or supervision of original research. Responsible for participating in a research project associated with PhD studies and the interpretation of the results of publication. Work is performed under supervision of graduate faculty members with evaluation based on accomplishment of assigned objectives and overall effectiveness of project. May supervise research and student assistants.

Major/Essential Functions
As part of this opportunity, the researcher will explore and develop new observational tools and MDM approaches for boundary layer processes focusing on the impact of dryland ecosystem on boundary layer kinematics and thermodynamics. Furthermore, the researcher will explore the potential for new and emerging boundary layer profiling systems including lidar, sodar and ceilometer to enhance our knowledge on the boundary layer parameterization schemes. The key tasks involved in the project are to:

Acquire and analyze new lidar and in-situ measurements under appropriate synoptic conditions to document boundary layer turbulence processes over an arid region;
Synthesize observations obtained from the West Texas Mesonet for time periods > 5 years;
Systematically investigate how model errors vary as a function of soil-vegetation-atmosphere nexus and associated meteorological conditions;
Provide insights into the soil moisture control on land-atmosphere interactions toward help developing new parameterizations; and
Explore the coupling between soil moisture, precipitation, and near-surface temperature in transitional regions (e.g., semiarid and semi-humid) of southwest US.

Required Qualifications
PhD in area of project specialization. Knowledge of modern research practices, the methods, resources, and standards thereof. Ability to organize work effectively, conceptualize and prioritize objectives and exercise independent judgment based on an understanding of organizational policies and activities. Ability to integrate resources, policies, and information for the determination of procedures, solutions and other outcomes. Ability to establish and maintain effective work relationships with other employees and the public. Ability to plan and allocate the workload of employees, providing direct training and supervision as needed.

Preferred Qualifications
In addition to the required qualifications, individuals who have one or more of the following preferred qualifications are strongly encouraged to apply:

Experience with field work and analyses of multivariable meteorological data sets obtained via ground-based meteorological stations.
Knowledge, and expertise in areas of ground-based remote sensing, dynamics of the boundary layer, and land atmosphere feedback processes
Experience in the evaluation of numerical model simulations

Special Instructions to Applicant
Applicants should identify their experience in the above areas and outline them in their cover letter and statement of research. This is a full-time benefits eligible fixed term 12 month position with a salary of $65,000 per year. Information on benefits may be found at: https://www.depts.ttu.edu/hr/EmpBenefits/CurrentEmpIns.php.

The anticipated start date for the position is prior to September 1, 2025, but is negotiable. Funding and research support are available for a period of 18 months but may be extended depending on the availability of additional funding and evaluation of performance. To apply please upload a cover letter, CV with list of publications, a statement of research, and the contact details for at least three people who will provide a letter of reference. For additional information, please email Prof. Sandip Pal (sandip.pal@ttu.edu).

Applications due by 31 July 2025.

Minimum Hire Rate

To apply, visit workattexastech.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.