We have multiple postdoc openings in quantum/classical machine learning and in uncertainty quantification. Below is a short summary of all possible openings:
1. Postdoc in uncertainty quantification.
Requirement: We expect the candidate to have rich experience in one or any combination of the following topics: high-dimensional uncertainty quantification, experimental design, verification of uncertainty system, control and/or optimization with various uncertainties.
Note: The postdoc will be working on theory and numerical algorithms, but he/she will be collaborating with hardware designers (e.g., photonic integrated circuit designers) to make real impact in the semiconductor industry.
2. Postdoc in quantum artificial intelligence (AI)
Requirement: We expect the candidateto have a rich experience in quantum information processing and quantum computing. Research experience in any of the following fields will be a big plus: tensor networks, quantum machine learning, quantum SAT (satisfiability).
Notes: The postdoc will be working on the theory & algorithm part, but he/she may collaborate with quantum hardware designers and machine learning groups to solve the real problems.
3. Postdoc in scientific and safe/robust machine learning.
Requirement: We expect the candidate to have rich experience in one or any combination of the following topics: ODE/PDE methods for deep learning, optimal control for machine learning, robustness or safety of machine learning. Candidates with research experience in high-dimensional Hamiltonian-Jacobi-Bellman’s equations will be a big plus (but not required).
Note: The postdoc will be working with current group members, as well as collaborators from the math and computer science department.
4. Postdoc in numerical methods for hardware-friendly big data and machine learning.
Requirement: We expect the candidate to have rich experience in numerical analysis, scientific computing or numerical optimization. Candidates with a strong background in low-precision or mixed-precision numerical methods will be a big plus.
Note: The postdoc will be working on the theory & algorithm part, but he/she may collaborate with hardware designers and our industrial partners to enable efficient hardware/software co-design of AI systems.
Interested applicants please send a CV (and possibly also representative publications) to Zheng Zhang (email@example.com). Please indicate which position you are interested in.