Research Engineer (Computer Vision - Wildlife Species) - SH1

Posting Start Date : 02 / 02 / 2026

Schemes of Service : Research

Division : Professional Officers

Employment Type : Fixed Term

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The Research Engineer will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts.

Job Responsibilities

• Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables.
• Undertake the following specific responsibilities in the project : Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets.Design and implement software modules to integrate the models into a working system prototype.Perform data annotation.Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency.Prepare project documentation, technical reports, and academic publications.Collaborate with industry partners and contribute to technology transfer efforts.Support the design of simple web interfaces or dashboards to visualise CV model outputs, working alongside developers when needed.Contribute to system integration by applying familiarity with backend / frontend workflows, ensuring CV models can be accessed through user-facing applications.Assist in deployment of CV solutions on cloud or edge platforms with basic interface support for end-users.

The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.

Technical Requirements :

Familiarity with Web / Full-Stack Development :

Educational Requirements :

Preferred Qualifications :