Research Assistant (Paleoseismology & Levelling Data)

About the role

Nanyang Technological University in Singapore is hiring five Research Assistants to support an integrated programme covering fault assessment, seismic and geodetic monitoring, earthquake physics, ground-motion modelling, site response, exposure and vulnerability, and probabilistic seismic hazard and risk assessment. The new hires join a multidisciplinary team across the Earth Observatory of Singapore (EOS), the Asian School of the Environment (ASE) and the School of Civil and Environmental Engineering (CEE). The listing covers two positions: four Research Assistants in Paleoseismology and Neotectonics and one in Levelling Data Investigation.

Key responsibilities

• Paleoseismology: analyse geological data and digital terrain models to refine fault locations before trenching, and assist with preliminary geophysical field investigations
• Support paleoseismic field work, including trench excavation, wall cleaning, gridding, surveying, field documentation, permitting and logistics
• Assist trench loggers with wall logging and photographic documentation, and help with sedimentological and stratigraphic observations
• Collect, label and catalogue geological samples, process them and prepare materials for geochronological dating and sedimentological analysis
• Maintain field records, photographs and sample registers, and mentor undergraduate interns on desk-based data analysis
• Levelling data: compile, review and evaluate levelling datasets, digitise and quality-control historical levelling records, and integrate levelling, InSAR and GNSS observations into deformation fields, strain-rate maps and geodetic models
• Prepare technical reports, take part in research meetings and support other EOS research activities

Required profile

• Bachelor's degree in geology, geoscience, Earth science, geotechnical engineering, Earth science, Geophysics, Geodesy or a related field
• For paleoseismology: basic knowledge of geology, sedimentology, stratigraphy and geomorphology, with considerable prior field experience strongly preferred; entry-level candidates are welcome
• For levelling data: proficiency in computational methods, with experience in MATLAB and/or Python
• Good written and oral communication, able to contribute to technical reports reviewed by external experts
• Ability to work independently and collaboratively under demanding field conditions and strict timelines, with excellent organisation and time management
• Willingness to perform demanding physical fieldwork, including extended periods in trenches in warm tropical regions, and to travel for fieldwork

Candidates apply by submitting a CV, a one-page cover letter describing research interests and relevant experience, and the contact details of 2-3 references; publications may be linked in the CV or cover letter. Only shortlisted candidates will be notified.