Job Openings

Job Openings

April 2024

 Job Description

HTX is seeking an experienced and innovative Human Factors Engineer with a proven track record of researching, developing scientific hypotheses, and devising methods to study Home Team (HT) officer performance in human-robot interaction (HRI) applications. As a Human Factors Engineer, you will work on real-world projects focused on HRI concepts that impact the design, operation, interaction, teaming, management, and analysis of intelligent semi- and fully autonomous systems. You will work alongside a team of passionate and driven engineers, user interface and user experience (UI/UX) designers, product managers as well as interact with subject matter experts in semi- and fully autonomous operations. The Human Factors Engineer will communicate with reporting officer, peers, project leads and members, and HT department users to explain scientific principles, data analyses, processes, and practices related to HRI research projects and related program efforts.

 

What you will be working on:

• Review and select human factors methodologies, adapt and apply them to the design and assessment of proof-of-concept systems and/or products.

• Conduct field research using cognitive task analysis and related techniques to develop and validate system requirements.
• Contribute to use cases and scenario development that drive product design processes.
• Collaborate with UI/UX designers to create and review impactful human-robot interface designs and prototypes.
• Advocate for human perceptual and cognitive considerations as they apply to sense-making and decision-making tools.
• Ensure compliance with customer human factors standards.
• Present interface designs and prototypes to multiple audiences including HT users for feedback and/or handoff.
• Conduct testing to test and evaluate software features and releases.
• Prepare test plans that collect quantitative and qualitative data in modelling and simulation contexts as well as ‘live’ tests in controlled and/or field environments.
• Recommend and write requirements for human-robot interface instrumentation that provides improved insights to user interactions.
• Review and provide feedback on technical documentation and systems engineering documentation.

 

Requirements

• At least a bachelor’s degree in human factors engineering/psychology, cognitive systems engineering, integrated systems engineering, applied cognitive science, information science, or related discipline.
• Two or more years of professional experience.
• Experience with HRI or artificial intelligence applications.
• Experience with human-robot interface design.
• Experience developing and executing research or test plans involving human subjects.
• Knowledge of human factors and human performance concepts and theories
• Passion for solving complex problems while navigating constraints and trade-offs in a fast-paced setting.
• Strong written and verbal communication skills.
• Exceptional eagerness to learn and become better.
• Strong creative, technical and problem-solving skills.
• Able to work independently while possessing strong cooperative skills with the ability to work effectively with others in teams.

More details at: Find A Job | Careers@Gov (hrp.gov.sg)

March 2024

 Job Description

Part-time teaching/grading opportunities are open to MQF students. 

Duties include the following:

• Teach tutorials of undergraduate QF courses.
• Grade undergraduate QF homework assignments.

 

Payment

SGD50 per hour. For tutorial teaching, preparation hours will be added in the working hours.

Requirements

1. A Bachelor Degree in Mathematics/Applied Mathematics/Quantitative Finance
2. Under MQF program in Aug-Dec 2024.
3. Able to convey information in a clear, concise and interesting manner
4. Able to work cooperatively as a member of a team and manage groups at the undergraduate level
5. Teaching experience in a similar capacity is preferred

Interested students may send your CV, undergraduate transcript and unofficial master courses transcript (if any) to Dr. Li Wei (matliw@nus.edu.sg) by 3 May, 2024.