About The Position

The Houston Research Center offers a Summer Student Program with various internship opportunities across different disciplines within Research and Development. Students will work with experienced scientists and engineers on challenging upstream and downstream projects, focusing on areas such as drilling, exploration, production, technology advancements, sustainability, and the development of novel materials and artificial intelligence. Interns will be assigned mentors and are expected to conduct research, analyze data, and present their findings. Some opportunities may be eligible for internship course credit.

Requirements

  • Currently pursuing a degree in Engineering Majors, Data Science, Computer Science, Geology, Chemistry, Material Science, Biology, Physics, Geochemistry, Electrical Engineering, Mechanical Engineering, Mathematics, Geophysics, Geoscience, Chemical Engineering, Polymer Chemistry, Petroleum Engineering, or related fields.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a team.
  • Good communication and presentation skills.

Nice To Haves

  • Experience with laboratory measurements and experiments.
  • Familiarity with data analysis and integration.
  • Knowledge of drilling and cementing fluids.
  • Experience with material synthesis and characterization.
  • Proficiency in operating laboratory equipment.
  • Experience with circuit design, firmware programming, or testing.
  • Experience with mechanical design (Solid Works), additive manufacturing, or flow-loop testing.
  • Experience in developing and evaluating AI/ML models.
  • Proficiency in data preparation, organization, and analysis.
  • Experience with AI techniques such as computer vision, NLP, forecasting, anomaly detection, optimization, and physics-informed methods.
  • Experience in assessing model performance and uncertainty.
  • Experience converting research code into production-ready workflows.
  • Experience developing AI-enabled decision-support tools, data pipelines, dashboards, and reporting solutions.
  • Experience in seismic data processing and inversion.
  • Experience developing rock physics models.
  • Experience with sustainability projects (CO2 sequestration, hydrogen production).
  • Experience with market intelligence reports.
  • Experience with engineering simulations and calculations.
  • Experience synthesizing and characterizing catalytic and adsorptive materials.
  • Experience operating experimental systems and instrumentation.
  • Experience with process design and optimization.
  • Experience with polymer synthesis and characterization.
  • Experience evaluating loss circulation materials, drag reducing agents, water shutoff formulations.
  • Experience extracting critical metals.
  • Experience with automation of materials discovery.
  • Experience operating and handling advanced characterization tools.

Responsibilities

  • Assist staff in conducting R&D focused on challenges encountered by unconventional assets.
  • Support integration of laboratory, field, and modeling data to improve understanding and development of unconventional reservoirs.
  • Conduct laboratory measurements and experiments.
  • Organize, analyze, and integrate data gathered within R&D or from external laboratories.
  • Carry out duties independently under the guidance of a mentor.
  • Assemble work for a team presentation.
  • Develop future drilling and workover technologies.
  • Work on sustainability projects including CO2 sequestration and hydrogen production.
  • Prepare and characterize drilling and cementing fluids.
  • Synthesize, characterize, and apply materials.
  • Operate intricate laboratory equipment.
  • Develop new oilfield measurement instruments from concept to field-tested prototypes.
  • Work on circuit design, firmware programming, and testing of systems for sensor applications.
  • Perform mechanical design (Solid Works), additive manufacturing, and flow-loop testing for sensor applications.
  • Research and develop machine learning and artificial intelligence technology for upstream applications.
  • Develop and evaluate AI/ML models for upstream oil and gas applications.
  • Prepare, organize, and analyze structured and unstructured datasets.
  • Apply AI techniques such as computer vision, NLP, forecasting, anomaly detection, optimization, and physics-informed methods.
  • Assess model performance, uncertainty, feature importance, and comparisons with conventional workflows.
  • Convert research code into reusable, production-ready workflows and applications.
  • Support the development of AI-enabled decision-support tools, data pipelines, dashboards, and reporting solutions.
  • Collaborate with scientists, engineers, and developers to deploy digital technologies.
  • Prepare technical reports, presentations, and project demonstrations.
  • Conduct research on advances in surface and borehole seismic data processing and inversion.
  • Develop rock-physics enabled integrated geosolutions technologies for geophysical support.
  • Assist senior engineers in technology identification, detailed review, and assessment.
  • Focus on Decarbonization, Carbon Circularity, and New Energies (Hydrogen) technologies.
  • Assist senior engineers in market intelligence reports.
  • Support coordination with 3rd Party technology providers.
  • Support in assembling the technical brief and technology reports.
  • Assist in required engineering simulations and calculations.
  • Support in preparation of presentation slides to management.
  • Synthesize and characterize catalytic and adsorptive materials.
  • Operate advanced experimental systems and instrumentation.
  • Collect and analyze technical data.
  • Support process design and optimization efforts.
  • Develop novel materials – polymers, organic-inorganic hybrids, functionalization of materials.
  • Automate materials discovery through robotics.
  • Perform polymer synthesis and characterization.
  • Evaluate Loss circulation materials, drag reducing agents, water shutoff formulations.
  • Extract critical metals.
  • Operate and handle advanced characterization tools.

Benefits

  • Internship course credit (eligibility to be confirmed with Academic Advisor or University).
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service