Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo)

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT); Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading university of applied learning in Singapore is seeking a Research Engineer to support an industry innovation research project. The role involves developing and optimizing deep learning-based computer vision algorithms, collaborating closely with the Principal Investigator and the research team. Candidates should possess a bachelor's degree in Computer Science or related fields, alongside strong hands-on experience with deep learning frameworks and Python. This position offers a unique opportunity to engage in practical research with industry partners and contribute to impactful projects.

Qualifications

• Hands-on experience with deep learning frameworks.
• Ability to develop, train, and optimize deep learning models.
• Experience in technical writing and research reporting.

Responsibilities

• Manage the research project with the PI and Co-PI.
• Develop deep learning models for object detection.
• Conduct experiments and analyze results.

Skills

Deep learning frameworks (e.g., PyTorch, TensorFlow)

Deep learning models (e.g., YOLO, U-Net, EfficientNet, etc.)

Computer vision techniques and algorithms

Python and libraries (e.g., PyQt, OpenCV)

Education

Bachelor's degree in Computer Science or related field

Master's or PhD degree in relevant areas

Tools

Appropriate deep learning software

NVIDIA Jetson Nano

Job description

Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Singapore Application Deadline 31 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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 primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation.

Key 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 object detection, 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.

Job Requirements

1. Possess strong technical knowledge and hands-on experience in:

• Deep learning frameworks (e.g., PyTorch, TensorFlow)
• Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN)
• Computer vision techniques and algorithms
• Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models

2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field.

• A Master’s or PhD degree in relevant areas will be advantageous.

3. Familiarity with the following areas is advantageous:

• Participation in Kaggle competitions, showcasing practical problem-solving and model development skills
• Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano)
• Real-time processing and GPU acceleration
• Experience working on industry R&D projects
• Able to build and maintain strong working relationships with team members, stakeholders, and external partners
• Self-motivated and committed to continuous learning and improvement
• Proficient in technical writing & presentation, research reporting, and academic publication
• Possess strong analytical, problem-solving, and critical thinking skills
• Demonstrate initiative and ownership in carrying out tasks independently