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Research Associate (Computer Engineering/Computer Science/Electronics Engineering)

Research Associate (Computer Engineering/Computer Science/Electronics Engineering)

Nanyang Technological University
Fresher
SGD 4,000 - 8,000 per month
  • Posted a day ago
  • Be among the first 10 applicants

Job Description

Young and research-intensive, Nanyang TechnologicalUniversity, Singapore (NTU Singapore) is ranked among the world's topuniversities. NTU's College of Computing and Data Science (CCDS) is a leadingcollege that is known for its excellent curriculum, outstanding and impactfulresearch, and world-renowned faculty.

A hot bed of cutting-edge technology andgroundbreaking research, the College aims to groom the next generation ofleaders, thinkers, and innovators to thrive in the digital age. Located in theheart of Asia, NTU's College of Computing and Data Science is an excitingplace to learn and grow. We welcome you to join our community of faculty,students and alumni who are shaping the future of AI, Data Science andComputing.

Job Responsibilities:

. Conduct research on reinforcement learning (RL).

. Prepare and submit conference papers.

. Co-supervise undergraduate and/or graduatestudents.

. Support teaching activities, including coursepreparation and student guidance.

. Assist in the preparation and writing ofresearch grant proposals.

Job Requirements:

  • Masterdegree in computerengineering, Computer Science, Electronics Engineering or equivalent.
  • Independent, highly analytical, proactive anda team player
  • Excellent teamwork and verbal, writtencommunication skills
  • In-depth knowledge of RL and LLM-agentsystems.
  • Demonstrated capability to conduct innovativeresearch.
  • The ability and willingness to adapt andincorporate novel ideas and approaches in scientific industry.
  • Demonstrated ability to formulate hypothesisand design effective experimental plans.
  • Ability to design and implement newexperimental methods.
  • High-level expertise in the requiredexperiment or modelling methods.
  • Ability to initiate collaboration research inmultidisciplinary team.
  • Oversee and report project progress.

We regret that only shortlisted candidates will benotified.

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Key Skills

Modelling methods

Reinforcement Learning (RL)

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Singapore
Skills:
reinforcement learning (RL), LLM-agent systems, modelling methods, experimental methods