Positions

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Master of Science (MSc)

Posted: 15 October 2024 | Status: Open

Position Description

This posting is for a funded MSc position under the supervision of Professor Joseph P. Vantassel in the geotechnical engineering program at Virginia Tech. The position start date is October 2025. The position will involve applying state-of-the-art subsurface imaging techniques to near-surface geotechnical site characterization. The position will involve field-based data acquisition, data processing, and publication of results.

Required Qualifications

  • BS degree in geotechnical engineering or related field.
  • Ability to pursue MSc in civil engineering (geotechnical focus) at Virginia Tech in the fall semester of 2025.
  • Prior experience in geotechnical engineering, near-surface geophysics, or other related field.
  • Fundamental programming skills (any language).
  • Ability to perform field-based research.

Preferred Qualifications

  • Ability to design, fabricate, and assemble electro-mechanical equipment.
  • Prior experience with software development (Python preferred).
  • Knowledge of the fundamentals of data acquisition and signal processing.

Timeline

Review of candidates will begin immediately and end January 1st.

Doctor of Philosophy (PhD)

Posted: 15 October 2024 | Status: Open

Position Description

This posting is for a funded PhD position under the supervision of Professor Joseph P. Vantassel in the geotechnical engineering program at Virginia Tech. The position start date is October 2025. The position will involve applying state-of-the-art subsurface imaging techniques to near-surface geotechnical site characterization. The position will involve field-based data acquisition, numerical simulation, data processing, and publication of results. The position will require software development and use of high performance computing. The position may involve the use of machine & deep learning. The ideal candidate will have strong communication skills (written and oral) and an ability to work independently as well as in a group.

Required Qualifications

  • MS degree in geotechnical engineering or related field.
  • Ability to pursue PhD in civil engineering (geotechnical focus) at Virginia Tech in October 2025.
  • Prior experience in geotechnical engineering, near-surface geophysics, or other related field.
  • Prior programming experience (any language).
  • Ability to perform field-based research.

Preferred Qualifications

  • Demonstrable software development ability (Python preferred).
  • Knowledge of machine and deep learning.
  • Prior experience with using high performance computing.

Timeline

Review of candidates will begin immediately and end January 1st.

Post-Doctoral Associate (Postdoc)

Posted: 15 October 2024 | Status: Open

Position Description

This posting is for a post-doctoral position under the supervision of Professor Joseph P. Vantassel in the geotechnical engineering program at Virginia Tech. The position does not have a fixed start date. The position will involve developing state-of-the-art subsurface imaging techniques for near-surface geotechnical site characterization. The position will involve developing novel approaches to site characterization, developing proposal to fund agencies, publishing results, and supervising graduate students. The candidate is expected to be proficient in software development, high performance computing, and deep learning. The ideal candidate will have strong communication skills (written and oral) and an ability to work independently as well as in a group.

Required Qualifications

  • PhD degree in geotechnical engineering or related field.
  • Ability to be in person at Virginia Tech in Blacksburg, VA by the agreed start date.
  • Prior experience in geotechnical engineering, near-surface geophysics, or other related field.
  • Ability to perform field-based research.
  • Demonstrable programming ability (any language).
  • Knowledge of software development, high performance computing, and deep learning

Preferred Qualifications

  • Prior experience mentoring undergraduate and graduate students.
  • Knowledge of inverse problems and numerical optimization.
  • Knowledge of data acquisition and signal processing.

Timeline

Review of candidates is done on a rolling basis.