Research Fellow (SIA-NUS Digital Aviation Corp Lab)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28SIA-NUS-Digital-Aviation-Corp-Lab%29/32327-en_GB/?st=2C5931731EEE862F6B6CB1F5A55B3F88EE17073D

We regret that only shortlisted candidates will be notified.

About the Corp Lab

SIA-NUS Digital Aviation Corp Lab at the National University of Singapore (NUS) leverages NUS’s world class deep technology and multi-disciplinary research expertise across Artificial Intelligence (AI), Machine Learning, Data Science, Operations Research and Analytics, Optimisation, Automation, Sleep Studies and Design.

The Corporate Lab aims to develop for Singapore Airlines a new approach to design optimal price tiers for air tickets and manage seat inventory, to help maximize revenues for airlines, leveraging on modern analytical tools and technologies that can perform deep data analytics in airline revenue management system. The current solution provided by its new commercial vendor is adequate but could not address specific issues faced by SIA, including the price elasticity estimation, dynamic pricing and competition considerations etc. These are all unique to SIA and customized solution methodology needs to be developed for these purposes. Expertise, infrastructure and relevant background work done at NUS’s Institute of Operations Research and Analytics (IORA), School of Business, School of Computing and Department of Industrial Systems Engineering & Management would be tapped on to add value to the proposed projects.

Job Description

The Research Fellow will be responsible to:

• Lead the design, development, and governance of project databases and data infrastructure, ensuring scalability, security, and reproducibility.
• Oversee and execute data acquisition strategies, including protocol design for data collection, quality assurance, cleaning, and processing pipelines.
• Drive methodological innovation by developing, adapting, and evaluating state-of-the-art approaches in data science, machine learning, artificial intelligence, and big data.
• Lead advanced analytical work to characterise complex datasets, formulate research questions/hypotheses, and generate publishable insights using rigorous statistical and computational techniques.
• Develop high-impact research communication outputs, including advanced visualisations, technical reports, manuscripts, and presentations for both academic and stakeholder audiences.
• Provide scientific leadership in collaborations with project leads, lab members, and external partners—translating real-world problem statements into research plans, milestones, and deliverables.
• Supervise and mentor junior researchers/students and lead project teams, ensuring timely execution, research quality, and successful delivery of project outcomes.

The Research Fellow will work closely with the Principal Investigator and lab members to provide scientific and technical leadership across one or more research projects with external collaborators, focusing on impactful research questions arising from real-world datasets and problem settings.

About You

The University values courage and creativity, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Fellow who has:

• A completed PhD in operations research, econometrics, statistics, or related field
• Evidence of managing research projects
• Evidence of ability to conduct high-quality research
• Background relayed to Causal inference, Experiment design, Causal Structural modeling
• An emerging track record of academic publications
• An ability to work in a collaborative team environment
• Excellent communication skills

Others:

• Possess good interpersonal skills
• High comfort level in working within a self-directed culture and navigating ambiguity.
• Openness to critique from other disciplines and curiosity to learn from a spectrum of perspectives.
• An empathy and curiosity for how great brands, businesses and organizations navigate innovation and design.
• Experience with unique and novel tools and methods to uncover key insights
• willingness to work in a collaborative team environment

About Us

NUS, Singapore’s flagship university, and SIA, Singapore’s flagship carrier, jointly established a 5-year SIA-NUS Digital Aviation Corporate Laboratory (Corp Lab) to create and commercialise innovative technologies that could accelerate the digital transformation of Singapore’s aviation sector and redefine the air travel experience.

To emerge ahead in today’s digital transformation era, SIA and NUS will jointly target Revenue Management & Dynamic Pricing (for smart data-driven optimization), Transforming Competency and Skill Development (for intelligent and personalised pilot and cabin crew training), Employee Wellness (for data-driven and scientifically-backed improvements to workforce safety, performance and productivity), and Passenger Comfort, Sleep and Cabin Service (for next-generation product offerings and unparalleled customer service within the cabin).