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Job Description

Augmented Human Lab, at the Smart Systems Institute, National University of Singapore is seeking a Research Assistant with expertise in Machine Learning and Human Computer Interaction.
As a Research Assistant, you will play a pivotal role in advancing our research initiatives by developing robust and scalable software solutions. You will collaborate with a multidisciplinary team of researchers, engineers, and scientists to implement, optimize, and maintain AiSee applications that aimed to help people with visual impairments.

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10 in the world. The Augmented Human Lab is an excellent environment with a diverse team (www.ahlab.org/people) which will accelerate your research career.

The initial term of appointment will be 1-year. The selected candidate will be offered competitive salaries and benefits.

Major Responsibilities

• Perform comprehensive user research to understand user needs, and market demands.
• Analyse competitor products, business models, and market positioning to identify gaps, threats, and opportunities.
• Gather insights into target customer segments and identify potential opportunities for AiSee
• Connect with external partners and stakeholders to field test AiSee.
• Collaborate with the internal teams (Software, Hardware, AI, etc) to define the AiSee roadmap and align product features with business objectives.
• Help prioritize product features and ensure that they address critical user needs and opportunities.
• Prepare reports, presentations, and data analyses for internal and external meetings

Qualifications

• Minimum Bachelor’s degree from a reputed university
• At least 2 years of working experience
• Good understanding product development workflows.
• Good understanding and hands-on experience in following areas:

- User study design for Human Computer interaction projects
- Experience with wearable devices
- Experience with quantitative and qualitative data analysis methods

• In addition the candidate should be a team player and be able to demonstrate excellent communication skills (written and verbal) and interpersonal skills.

More Information

Location: Kent Ridge Campus

Organization: Smart Systems Institute

Department : SSI HQ

Employee Referral Eligible: No

Job requisition ID : 26667