Research Fellow (Computer Science/Computer Engineering/Physics/Electronics Engineering)

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

NTU Singapore’s College of Computing and Data Science invites applications for a Research Fellow to advance LLM-driven systems for quantum error correction and scalable neural decoders.

You will lead a multidisciplinary team, develop AI-assisted quantum technologies, and collaborate with AQAS partners while publishing in top venues. The role leverages HPC resources and requires a PhD and strong research output.

Qualifications

• PhD in Computer Science, Physics, Engineering or equivalent.
• Strong track record of innovative research with first-author publications in leading venues.

Responsibilities

• Develop LLM-driven agentic systems that discover and optimise quantum error-correcting codes.
• Design scalable neural decoders that generalise across code families and benchmark against classical decoders.
• Investigate AI-assisted synthesis and optimisation of fault-tolerant circuits.
• Develop low-latency, hardware-efficient decoding methods and FPGA deployment.
• Build and maintain open-source software and large-scale simulation pipelines on HPC resources.
• Publish research in leading venues and contribute to project reports and grant proposals.
• Lead and mentor PhD, Master’s and undergraduate researchers; coordinate day-to-day lab activities.
• Collaborate with academic, industry and hardware partners within the AQAS programme.

Skills

Deep learning

Transformer models

Team leadership

Analytical thinking

Independent researcher

Education

PhD in CS/Physics/Engineering

Tools

PyTorch

FPGA

Job description

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place 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 and Computing.

The QID Lab, led by Asst Prof Du Yuxuan at NTU’s College of Computing and Data Science, works at the intersection of quantum computing and artificial intelligence, spanning quantum machine learning, quantum learning theory and AI for quantum science. The Research Fellow will join a project under Singapore’s AQAS programme, developing advanced AI, including large language models and neural decoders, for quantum error correction.

Key Responsibilities

• Develop LLM-driven agentic systems (“AI scientists”) that automatically discover and optimise quantum error-correcting codes, such as quantum LDPC codes, under realistic circuit-level noise and hardware constraints.
• Design scalable neural decoders, such as Transformer-based foundation decoders, that generalise across code families and distances, and benchmark them against state-of-the-art classical decoders.
• Investigate AI-assisted synthesis and optimisation of fault-tolerant circuits, including syndrome extraction circuits and decoding for logical operations.
• Develop low-latency, hardware-efficient decoding methods, such as model compression and FPGA deployment, to support real-time quantum error correction.
• Build and maintain open-source software and large-scale simulation pipelines on high-performance computing resources.
• Publish research in leading venues in quantum information and machine learning, and contribute to project reports, deliverables and grant proposals.
• Lead and mentor a team of PhD, Master’s and undergraduate researchers, and coordinate day-to-day research activities within the lab.
• Collaborate with academic, industry and hardware partners within the AQAS programme and Singapore’s quantum ecosystem.

Job Requirements

• PhD degree in Computer Science, Computer Engineering, Physics, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player.
• Excellent teamwork and verbal, written communication skills.
• In-depth knowledge relevant to the project domain, including quantum error correction, fault-tolerant quantum computing and decoding algorithms.
• Demonstrated capability to conduct innovative research, evidenced by first-author publications in leading journals and conferences (e.g., Physical Review Letters, Nature Communications, ICML, NeurIPS, ICLR).
• The ability and willingness to adapt and incorporate novel ideas and approaches, such as large language models and AI agents, in scientific research.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new computational and numerical methods.
• High-level expertise in the required modelling methods, including deep learning (e.g., PyTorch), large language models and circuit-level QEC simulation.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.
• Experience running large-scale computational experiments on HPC or GPU clusters.
• Proven ability to lead a research group, including supervising PhD and Master’s students and undergraduate interns and coordinating multiple concurrent projects.

We regret that only shortlisted candidates will be notified.

Hiring Institution

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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