COMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
This position is for School of Computing and Information Systems (SCIS).
Design and develop world models that learn compact representations of VRP states, transitions and solution trajectories.
Integrate learned world models with neural solvers, planning, search or reinforcement learning methods for decision-making.
Implement strong neural and traditional optimization baselines and evaluate them on synthetic and real-world VRP datasets.
Prepare research papers, technical documentation and reusable code.
Undertake other duties as assigned.
QUALIFICATIONS
Minimum master degree in Computer Science, Information Technology, Information Systems or closely related disciplines with particular focus on Artificial Intelligence.
At least one year of relevant research or development experience in reinforcement learning, combinatorial optimization or a related area.
Working knowledge of world models, generative modelling, combinatorial optimization, vehicle routing problems,neural solvers or graph neural networks.
Ability to design rigorous experiments, build benchmarks, analyze results and reproduce research findings.
Solid foundations in algorithms, data structures and mathematical reasoning.
Research publications or substantial project experience in AI or optimization are advantageous.
Clear written and verbal communication skills, including the ability to prepare technical reports and papers. Self-motivated and able to work independently while collaborating effectively in a small academic research team.
OTHER INFORMATION
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Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
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