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Research Assistant Professor - Geothermal Reservoir Modeler/Engineer

Company:
Jackson School of Geosciences
Location:
Rollingwood, TX, 78716
Posted:
April 19, 2025
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Description:

Description

General Notes

This is a position at the J.J. Pickle Research Campus in North Austin.

Purpose

The position will conduct geothermal research and work on multiple current fundings exploring geothermal resources, reservoir modeling, techno-economic analysis and machine learning implementation, and other emerging geothermal energy-related topics. The selectee will be expected to develop funding and work collaboratively with the team.

Responsibilities

Research

Writing (reports for funders' requirements and papers)

Proposal Development

Various other duties as assigned Salary Range

$90,000 depending on qualifications

Working Conditions

May work in all weather conditions

May work in extreme temperatures

May work around standard office conditions

May work around chemicals

May work around electrical and mechanical hazards

Repetitive use of a keyboard at a workstation

Use of manual dexterity

Climbing of stairs

Climbing of ladders

Lifting and moving

Occasional weekend, overtime, and evening work to meet deadlines

Fieldwork as necessary Required Materials

Resume/CV

3 work references with their contact information

Letter of interest Qualifications

Required Qualifications

The ideal candidate must have:

Ph.D. in earth sciences or engineering with research experience in geothermal energy.

Proven capacity for innovative, creative scientific analysis

Excellent data management skills

Proven publication skills and verbal communication skills

Excellent interpersonal and communication skills, and professional demeanor

Ability to work both independently and effectively in a group

Ability to work effectively with multiple disciplines, including geophysics and engineering Preferred Qualifications Broad expertise in geothermal systems, Specific expertise in reservoir modeling, and/or developing various machine learning models. Experience in coding in Python, Julia, or similar languages as well as industry-standard reservoir simulators. Geothermal field project experience, either in industry or academia.

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