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Research Engineer (1-year contract), SCIS

1-3 Years
  • Posted 8 hours ago
  • Be among the first 10 applicants

Job Description

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.

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Job ID: 153424357

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