Remote | Global Applicants Welcome | Fresh Graduates Welcome

? Apply: [email protected]

RAUZ is looking for part-time engineers and graduates with backgrounds in Geotechnical Engineering, Geological Engineering, Engineering Geology, or closely related disciplines to support our growing work in geotechnical monitoring intelligence, environmental and geotechnical AI, engineering data analysis, and digital monitoring technologies.

This is a remote, internationally open position . Applicants may be based in any country, and fresh graduates are strongly encouraged to apply .

RAUZ focuses on transforming geotechnical, environmental, monitoring, survey and remote-sensing data into practical engineering intelligence. The role is particularly suitable for engineers who are interested in combining traditional geotechnical engineering knowledge with data analytics, artificial intelligence, monitoring technologies and digital engineering .

What You May Work On

Depending on your experience and interests, your work may include:

- Processing and reviewing geotechnical and environmental monitoring data
- Analysing data from inclinometers, piezometers, settlement monitoring systems, tiltmeters, crack meters, vibration sensors, GNSS, total stations and other monitoring instruments
- Performing data cleaning, validation, QA/QC and consistency checks
- Identifying abnormal readings, missing data, unexpected trends and possible instrumentation issues
- Preparing displacement, settlement, groundwater, deformation and other engineering trend analyses
- Supporting interpretation of monitoring data from a geotechnical engineering perspective
- Comparing monitoring behaviour with construction activities, excavation stages, groundwater conditions and other engineering factors
- Supporting the development of AI-assisted geotechnical and environmental data analysis workflows
- Assisting with engineering datasets used for AI model development, testing, validation and evaluation
- Organising and structuring technical data for machine learning, analytics and automated reporting applications
- Supporting automated generation of monitoring charts, tables, summaries and engineering reports
- Reviewing historical monitoring datasets and identifying patterns or engineering relationships
- Supporting development of monitoring dashboards, engineering analytics tools and digital monitoring workflows
- Assisting with InSAR and ground-movement data interpretation where relevant
- Combining satellite,



survey and ground instrumentation data for multi-source movement assessment
- Conducting technical research on geotechnical monitoring, environmental monitoring, remote sensing, AI and emerging engineering technologies
- Reviewing technical papers, industry guidance, monitoring specifications and engineering standards
- Supporting preparation of technical notes, methodologies, engineering guidance and knowledge-base materials
- Assisting senior engineers with monitoring strategy, instrumentation planning and trigger-level review
- Participating in internal technical discussions on geotechnical AI, monitoring intelligence and engineering data analytics

The exact scope can be adjusted according to each engineer’s academic background, experience and technical strengths. Who We Are Looking For

Applicants should be studying toward, or have completed, a degree in one of the following or a closely related field:

- Geotechnical Engineering
- Geological Engineering
- Engineering Geology
- Civil Engineering with a geotechnical focus
- Geology with relevant engineering applications

Fresh graduates and final-year students are welcome to apply. Previous full-time industry experience is not mandatory .

We are particularly interested in candidates who:

- Have a good understanding of soil mechanics, engineering geology or geotechnical engineering fundamentals
- Are interested in geotechnical instrumentation and monitoring
- Enjoy working with engineering data rather than only traditional design calculations
- Are curious about artificial intelligence, automation and digital engineering
- Can analyse engineering problems logically and explain their conclusions clearly
- Are comfortable working independently in a remote environment
- Are willing to learn new engineering software, analytical methods and monitoring technologies
- Have good written English for technical communication and documentation

Useful Skills — But Not Mandatory Experience with any of the following would be an advantage:
- Microsoft Excel
- Python
- MATLAB
- GIS / QGIS / ArcGIS
- SQL or database systems
- Power BI or other visualisation tools




- Geotechnical instrumentation
- Automated monitoring systems
- InSAR / remote sensing
- Data analytics
- Machine learning or artificial intelligence
- Statistical analysis
- Geotechnical numerical modelling
- Technical report writing

You do not need to have all of these skills. For graduate applicants, we are more interested in strong engineering fundamentals, analytical thinking, curiosity and willingness to learn .

Working Arrangement

- Part-time
- Remote
- Applicants from all countries and regions are welcome
- Flexible working arrangement depending on project requirements
- Suitable for graduate engineers, postgraduate students, researchers and experienced engineers seeking additional technical work
- Potential involvement in international projects and research-oriented engineering development
- Opportunities to work across geotechnical engineering, monitoring, data science, AI and remote sensing

Why This Role Is Different Traditional geotechnical monitoring often focuses on collecting measurements.

At RAUZ, we are interested in the next question:

What does the monitoring data actually mean?

Our work explores how engineering judgement, monitoring data, satellite observations, software and artificial intelligence can work together to help engineers understand:

- Where movement is occurring
- Whether movement is accelerating
- Whether an abnormal reading represents real ground behaviour or poor-quality data
- Whether observed changes are technically significant
- What engineers should investigate next

This makes the role particularly suitable for engineers who want to work at the intersection of geotechnical engineering and emerging digital technologies .

How to Apply

? Please send your CV to:

[email protected]

Suggested email subject

Application – Part-Time Geotechnical Engineer – [Your Name] – [Country]

You may also include a short introduction covering:

- Your current location
- Degree / university
- Area of geotechnical or geological interest
- Relevant software or data-analysis skills
- Your interest in AI, monitoring or engineering data
- Your approximate weekly availability

This is an ongoing recruitment opportunity , and applications from different countries are welcome throughout the year. For future engineering, AI, monitoring and research opportunities, please follow the RAUZ LinkedIn company page .

RAUZ — Geotechnical Monitoring Intelligence

📌 Part-Time Geotechnical Engineer – AI, Data & Monitoring (Chennai)
🏢 RAUZ Geo-AI
📍 Chennai