Junior Geophysicist- Fiber-optic Sensing & AI (Fresher)
Tranzmeo
Location: Infopark, Kerala
Last Date: 29 Sep 2025
We are seeking a motivated Junior Geophysicist (recent graduate) to dive into projects involving Distributed Acoustic Sensing (DAS), fiber‑optic sensor data, and Python‑driven AI analysis. You’ll work closely with geophysicists, data scientists, and engineers to drive data‑centric insights and support field deployments.
Key Responsibilities
Support data acquisition, preprocessing, and interpretation from fiber‑optic sensing systems (DAS/DTS).
Analyze large time‑series datasets using Python (NumPy, Pandas, SciPy, Matplotlib).
Collaborate with AI/ML experts to build models for signal classification, event detection, or anomaly identification.
Participate in field activities, including deploying sensors, monitoring systems, and validating datasets.
Document workflows, results, and technical insights clearly in reports or code comments.
Required Qualifications
Bachelor's or Master's degree in Geophysics, Geoscience, Physics, Engineering, or related discipline.
Fundamental understanding of seismic wave behavior and fiber‑optic sensing principles.
Basic proficiency in Python and experience with data‑analysis libraries.
Interest in machine learning—any exposure to scikit‑learn, TensorFlow, or PyTorch is a plus.
Excellent analytical thinking, communication skills, and collaborative mindset.
Preferred (Nice-to-Have)
Experience with signal processing, time‑series analysis, or seismic inversion methods.
Familiarity with version control systems (e.g., Git) and Jupyter notebooks.
Willingness and physical ability to participate in occasional fieldwork and travel.
What You’ll Gain
Hands‑on experience at the intersection of geophysics, fiber‑optic sensing, and AI.
Mentorship from industry professionals and cross‑disciplinary collaboration.
Exposure to real‑world problems in energy, infrastructure, and environmental monitoring.
Key Responsibilities
Support data acquisition, preprocessing, and interpretation from fiber‑optic sensing systems (DAS/DTS).
Analyze large time‑series datasets using Python (NumPy, Pandas, SciPy, Matplotlib).
Collaborate with AI/ML experts to build models for signal classification, event detection, or anomaly identification.
Participate in field activities, including deploying sensors, monitoring systems, and validating datasets.
Document workflows, results, and technical insights clearly in reports or code comments.
Required Qualifications
Bachelor's or Master's degree in Geophysics, Geoscience, Physics, Engineering, or related discipline.
Fundamental understanding of seismic wave behavior and fiber‑optic sensing principles.
Basic proficiency in Python and experience with data‑analysis libraries.
Interest in machine learning—any exposure to scikit‑learn, TensorFlow, or PyTorch is a plus.
Excellent analytical thinking, communication skills, and collaborative mindset.
Preferred (Nice-to-Have)
Experience with signal processing, time‑series analysis, or seismic inversion methods.
Familiarity with version control systems (e.g., Git) and Jupyter notebooks.
Willingness and physical ability to participate in occasional fieldwork and travel.
What You’ll Gain
Hands‑on experience at the intersection of geophysics, fiber‑optic sensing, and AI.
Mentorship from industry professionals and cross‑disciplinary collaboration.
Exposure to real‑world problems in energy, infrastructure, and environmental monitoring.
If this opportunity aligns with your career goals, kindly share your updated resume with us at lakshmi@team.tranzmeo.com
Send resume to: lakshmi@team.tranzmeo.com
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