Postdoctoral Researchers

If you are interested in becoming a Postdoctoral Researcher, please see the Participate page.

Simons-Berkeley Postdoctoral Researchers

Quantum Algorithms, Adiabatic Quantum Computing, Quantum Walks, Uncertainty Relations, Foundations Of Quantum Mechanics, Quantum Gravity.
Zero-Error Information Theory, Coding Theory, Sampling Algorithms And Theoretical Guarantees For Generative Networks
Pseudorandomness, Derandomization, Complexity Theory
Graph Algorithms, Combinatorial Optimization, Maximum Flow, Minimum Cut, Shortest Path, Parameterized Complexity
Cryptography, Quantum Information, Interactive Proof Systems
Complexity Theory, Quantum Computing, Stochastic Processes, Optimization
Data Structures, Algebraic Algorithms, Optimization
Reinforcement Learning, Optimization, High Dimensional Statistics

Quantum Postdoctoral Researchers

Quantum Complexity, Local Hamiltonians, Electronic Structure Theory, Quantum Chemistry
Quantum Computing, Quantum Communication, Hamiltonian Complexity
Quantum Algorithms, Adiabatic Quantum Computing, Quantum Walks, Uncertainty Relations, Foundations Of Quantum Mechanics, Quantum Gravity.
Quantum Computation, Computational Complexity Theory, And Connections With Physics
Quantum Cryptography, Quantum Computing, Non-Locality and Entanglement
Quantum Computing, Algorithm Theory, Computational Complexity, Monte Carlo Method
Quantum Cryptography, Quantum Information
Cryptography, Quantum Information, Interactive Proof Systems
Hamiltonian Simulation, Quantum Chemistry, Relativistic Electronic Structure

Machine Learning Postdoctoral Researchers

High-Dimensional Statistics, Causal Inference, Statistical Inference With Ml Models
Machine Learning Theory
ML Theory (Robust Statistics, Deep Learning, Distribution Learning) And Quantum Learning
Optimization, Constrained Learning, Signal Processing, Control
Deep Learning, Statistical Learning Theory, Optimization
High-Dimensional And Nonparametric Statistics, Information Theory, Online Learning And Bandits
Machine Learning Theory, Deep Learning Theory
Computational Learning Theory, Algorithms, Sampling, High-Dimensional Statistics
Optimization, Sampling, Probability, Optimal Transport, Machine Learning
Causal Inference, Machine Learning, Statistics
Data Structures, Algebraic Algorithms, Optimization
Machine Learning Theory; Algorithm Design; Economics And Computation
Reinforcement Learning, Optimization, High Dimensional Statistics
Reinforcement Learning, Machine Learning, Optimization, Statistics
Statistical Machine Learning, Causal Inference, Sequential Decision Making Under Uncertainty