Project Officer (AI for Seismic Data Processing)

Sorry, this job was removed at 08:24 a.m. (UTC) on Tuesday, Aug 04, 2026
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Singapore, SGP
In-Office
Entry level
Artificial Intelligence • Healthtech • Information Technology • Biotech
The Role
Lead seismic fieldwork and data acquisition; develop and apply AI/deep-learning methods for seismic preprocessing, quality control, denoising, and workflow optimization; manage and curate datasets; support seismic imaging analysis, documentation, and collaboration to deliver research objectives.
Summary Generated by Built In

The School of Physical and Mathematical Sciences (SPMS) is a research-intensive school at Nanyang Technological University, Singapore, comprising the Division of Mathematical Sciences and the Division of Physics and Applied Physics. The key objective is to support efforts to advance cutting-edge research and graduate education in mathematics, physics, and interdisciplinary scientific fields, while fostering innovation and addressing important scientific and technological challenges. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

For more details, please view https://www.ntu.edu.sg/spms.

We are looking for a Project Officer to support research in AI-enabled seismic data processing. The role will focus on leading fieldwork operations, overseeing seismic data acquisition, developing and applying AI-based tools for seismic data preprocessing, and ensuring high-quality datasets for subsequent seismic imaging and geophysical analysis.

Key Responsibilities:

  • Lead geophysical fieldwork, including the planning, deployment, operation, and maintenance of seismic equipment for field data acquisition.

  • Develop and implement AI-based methods for seismic data preprocessing, including data quality control, denoising, and signal enhancement.

  • Manage and curate seismic datasets, ensuring data integrity, quality, and compliance with project requirements.

  • Support the development and optimization of seismic data processing workflows for advanced seismic imaging and subsurface characterization.

  • Assist in the analysis and interpretation of seismic data and contribute to research on geophysical imaging and artificial intelligence.

  • Prepare technical documentation, reports, and research publications, and present research findings at project meetings when required.

  • Collaborate effectively with researchers, students, and external collaborators to support the successful delivery of project objectives and other related duties assigned by the Principal Investigator.

Job Requirements:

  • Bachelor’s degree in computer science, artificial intelligence, data science, mathematics, software engineering, or a related discipline.

  • Strong programming skills in Python and experience with software development for data analysis or machine learning applications.

  • Knowledge of artificial intelligence and machine learning techniques. Experience with deep learning frameworks such as PyTorch or TensorFlow is highly desirable.

  • Strong analytical and problem-solving skills, with the ability to develop computational solutions for scientific research problems.

  • Willingness to learn geophysical field survey techniques, seismic data acquisition, and seismic data processing workflows.

  • Good written and verbal communication skills, with the ability to work effectively in a multidisciplinary research environment.

  • Self-motivated, organized, and able to work independently as well as collaboratively within a research team.

  • Entry-level candidates with strong academic records and demonstrated potential in AI and software development are welcome to apply.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

Skills Required

  • Bachelor's degree in computer science, artificial intelligence, data science, mathematics, software engineering, or related discipline
  • Strong programming skills in Python
  • Experience with software development for data analysis or machine learning applications
  • Knowledge of artificial intelligence and machine learning techniques
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Strong analytical and problem-solving skills
  • Willingness to learn geophysical field survey techniques, seismic data acquisition, and seismic data processing workflows
  • Good written and verbal communication skills
  • Self-motivated, organized, able to work independently and collaboratively within a research team

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