Join Preferred.AI
We are growing, and always on the lookout for bright, dedicated, and curious individuals to become part of our research team.
Why Preferred.AI
We publish
We hold ourselves to a high standard. Our publications appear in top-tier venues (including IJCAI-PRICAI 2020 Distinguished Paper and AAAI 2014 Honorable Mention). You will aim high.
We achieve
Our PhD candidates have been winning SMU Presidential Doctoral Fellowships for nine years running. You will get things done.
We seek impact
We develop open-source frameworks like Cornac, teach tutorials, and present at premier international conferences. You will matter.
We are equipped
We have dedicated GPU compute servers, large-scale benchmarks, and rich datasets. You will have what you need to pursue high-quality research.
We are diverse
Our members come from across the globe: Singapore, Indonesia, Vietnam, China, Russia, France, Algeria, Greece, Philippines, Sri Lanka, and beyond. You will fit in.
We are up-and-coming
CSRankings.org places SMU among the top 30 institutions worldwide for AI/Data Mining (including KDD). You will grow along with us.
We plan ahead
Our graduates go on to academic and industry roles in top global institutions in the US, Europe, China, Australia, Vietnam, and Singapore. You will dream big.
We pay competitively
PhD candidates receive full scholarships. Most other research roles are paid competitive research salaries.
We play
We are a dynamic, close-knit group who celebrate milestones, run outdoor retreats, and enjoy good food together. You will have fun.
We do what's right
We do the right things and get them right. We get the right people and do right by them. You will make the right choice.
Candidate Profiles
Postdoctoral Research Fellow
PhD degree in Computer Science or related field with a strong publication record in top AI/ML venues.
Focus areas: Probabilistic graphical modeling, deep learning, topic modeling, recommender systems, dimensionality reduction, similarity search, text mining, and information extraction.
PhD Candidate / Research Engineer
Bachelor's and/or Master's degree in Computer Science or closely related discipline with high academic standing.
Focus areas: Competent in systems programming and data management, with foundations in data mining and machine learning. Research experience is a strong plus.
Research Intern / Visiting Student
Currently enrolled undergraduate or Master's student in Computer Science or related quantitative field.
Focus areas: Competent programming skills, strong self-motivation, and genuine curiosity in recommendation systems or machine learning research.
Ready to apply?
Send your CV, transcripts, and brief research interests to Associate Professor Hady W. Lauw.
Email [email protected]