Digital Place Vision Pte Ltd – R&D Intern (DBST Project)

Company
Digital Place Vision Pte Ltd
digiplacelab.com
Designation
R&D Intern (DBST Project)
Date Listed
24 Jan 2025
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Immediate Start, For At Least 3 Months
Profession
IT / Information Technology
Industry
Computer and IT
Location Name
Thomson Road, United Square Shopping Mall, Singapore
Address
101 Thomson Rd, Singapore 307591
Map
Allowance / Remuneration
$1,100 - 1,200 monthly
Company Profile

IT Consultancy and software development company.

SME company located within the Central Region of Singapore.

Company offers a comprehensive range of tech-based solutions for business-related problems, digital infrastructure, or upgrade data management capabilities. 

Job Description

R&D Intern


Our R&D team focuses on applications of robotics, AI & machine learning to solve large-scale business problems in retail and supply chain management, collaborating with both colleagues and partner organizations in Singapore and abroad.


Tracks: Engineering Systems and Design, Engineering Product Development, Computer Science and Design, Design and Artificial Intelligence

 

Technical Skills:

Proficiency in Python is a must.

Good knowledge of software engineering and data engineering concepts, such as algorithmic complexity, architectural patterns, software quality assurance.

Some experience in projects (academic or commercial) that involves software and hardware integration will be a plus.

Experience with drones and knowledge of drone technology will be a plus.

Experience with Robotic Operating System (ROS) will be a plus.

Experience with image/video processing will be a plus.


Objectives:

The overall objective of the project (which involves both full-time R&D team members and the intern) is to build solutions based on an existing drone platform. This may involve integration of camera or other sensors and writing code to control drone behavior or process data from sensors.


Deliverables:

The intern is expected to work together with other R&D team members to improve the codebase through algorithm optimization, feature addition, and/or quality improvements.

Application Instructions
Please apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

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