Research Engineer: Drone Ops & Geospatial Simulations

HYPERSCAL SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Singapore Management University invites applications for a research engineer to develop and maintain a sophisticated drone-opportunity simulation platform within the SMU Urban Institute. You will manage geospatial data pipelines, implement discrete-event or agent-based models, and build a cost model with automated test suites.

You will extend model fidelity, validate outputs against published studies, and calibrate geographies and regulatory constraints, enabling interactive maps and dashboards

Qualifications

• Bachelor's or Master's degree in Computer Science, Operations Research, Industrial or Transportation Engineering, Geoinformatics, or a closely related quantitative discipline.
• Demonstrable evidence of independently building non-trivial software that the candidate can discuss and defend in technical detail.
• Prior experience in a research environment, or co-authorship of a technical publication or preprint.
• Excellent coding ability and experience in Python or Java, with sound software engineering fundamentals, including Git, automated testing, environment management, and clear technical documentation.
• Discrete-event simulation (SimPy or equivalent) or agent-based modelling.
• Geospatial analysis, including OpenStreetMap data, GeoPandas, NetworkX, coordinate reference systems and routing on road networks.
• Operations research methods such as vehicle routing, set covering, facility location, and heuristic or exact optimisation.
• Web development sufficient to build and maintain a data-driven interactive map or dashboard.

Responsibilities

• Own and develop a research simulation platform that evaluates drone operations versus ground transportation options, including its geospatial data pipeline, discrete-event simulation, cost model and automated test suite.
• Extend model fidelity in identified areas: vehicle capacity, demand generation, routing, wind and no-fly constraints, and validate output against comparable published studies.
• Build, calibrate and validate new case-study geographies, delivery use cases, and regulatory constraints such as beyond-visual-line-of-sight rules and airspace restrictions.
• Other duties as assigned.

Skills

Python

Java

Git

Automated testing

Documentation

Web development

Geospatial analysis

SimPy

OpenStreetMap

Education

Bachelor's or Master's degree in Computer Science / OR / Industrial or Transportation Engineering / Geoinformatics

Tools

Git

SimPy

GeoPandas

NetworkX

Job description

Singapore Management University invites applications for a research engineer to develop and maintain a sophisticated drone-opportunity simulation platform within the SMU Urban Institute. You will manage geospatial data pipelines, implement discrete-event or agent-based models, and build a cost model with automated test suites.

You will extend model fidelity, validate outputs against published studies, and calibrate geographies and regulatory constraints, enabling interactive maps and dashboards