Post-doc in Quantum Algorithms for Dynamical Systems and Explainable AI

Application deadline: Friday, November 14, 2025Research group: Centre for Quantum Technologies (CQT), SingaporeEmployer web page: cqt.sgJob type: PostDocTags: quantum algorithmsquantum computingPost-doc in Quantum Algorithms for Dynamical Systems and Explainable AI In a collaboration with MathEXLab we are hiring a Postdoctoral Research Fellow for 1 year in quantum algorithms for dynamical systems, in a Joint Appointment between the NUS Department of Mechanical Engineering and the Centre for Quantum Technologies (CQT).

The Research Fellow will engage with two highly complementary environments: CQT is a world-leading research centre in quantum science, and the NUS Department of Mechanical Engineering is a top-ranked engineering department with strong expertise in applied mathematics, nonlinear dynamics, simulation, control, robotics, digital twins, and data-driven modeling. The joint structure offers a unique opportunity to work at the frontier between quantum computing, mathematical modeling, and mechanical/dynamical systems, with access to HPC resources, experimental quantum hardware, and the amazing Singapore quantum ecosystem. Duration: 1 year Location: Singapore Affiliations: NUS Department of Mechanical Engineering and Centre for Quantum Technologies Starting date: Immediately (or as soon as possible) Project Description This position focuses on advancing the mathematical and computational foundations of quantum algorithms for dynamical systems and explainable AI. The successful candidate will develop new quantum methods for modeling, simulating, and understanding complex dynamical processes, with connections to physics-informed learning, and interpretable machine intelligence. Potential research topics include: - Quantum algorithms for the simulation of classical and quantum dynamical systems - Quantum signal processing, time evolution, and structure-preserving transformations - Randomized and block-encoding–based methods for high-dimensional operators - Explainable and interpretable quantum machine learning The Research Fellow will be formally co-supervised by faculty from Mechanical Engineering (applied mathematics and dynamical systems) and CQT (quantum algorithms, quantum information science).

Candidate Profile We welcome strong candidates with a PhD in: - Quantum information science / quantum computing - Applied mathematics (numerical analysis, dynamical systems, approximation theory) - Theoretical physics (quantum theory, mathematical physics) - Computer science (with emphasis on randomized algorithms) The ideal applicant will have: - Demonstrated ability to design or analyze quantum algorithms - Experience with randomized numerical methods, numerical linear algebra - Strong theoretical background and a track record of high-quality publications Application process Deadline: The positions will remain open until filled. Applicants should submit to "".join([*("alessandro"[:3],chr(~-65)+".".join(["nus","ude"[::-1],"sg"]))]) the following materials: A CV, including a list of publications. A statement of research interests of ~2 pages. Contacts of referees who can provide recommendation letters: two if you are a recent PhD graduate, or three if you already have postdoctoral experience. Review of applications will begin immediately and continue until the position is filled.