Research Scientist

Location: Bengaluru

Prana Tree is a fast-growing IT consulting and product innovation firm and we specialize in AI, Quantum Computing, Blockchain, and Cloud solutions.

We are building new optimisation algorithms inspired by physics and field-theoretic ideas, designed to work with Ising machines, quantum annealers, and classical solvers.

This role focuses on algorithm design and experimentation, not just using existing tools. You'll work on  QUBO/Ising  formulations, post-processing and refinement layers, and the interaction between algorithms and annealing-style hardware.

What you'll work on

• Designing and implementing physics-inspired optimization algorithms

• Post-processing and refinement methods for Ising machines and annealers

• Experimenting with energy landscapes, uncertainty, population statistics, and annealing dynamics

• Benchmarking across classical simulators and specialized hardware

• Writing research-quality code (Python and/or C++)

Background we're looking for

You might come from:

• Applied mathematics

• Physics (theoretical, computational, or statistical)

• Quantum computing / quantum information

• Algorithms-heavy computer science

Strong intuition and problem-solving ability matter more than labels.

Required skills:

• Good mathematical foundation (linear algebra, probability, optimization)

• Comfort with energy-based models (Ising, QUBO, loss landscapes)

• Solid programming skills (Python and/or C++)

• Ability to reason about algorithms beyond black-box usage

Nice to have

• Experience with annealing methods, Monte Carlo techniques, or Ising models

• Exposure to quantum annealers or Ising machines (hardware or simulators)

• Research or R&D experience in optimization or computational physics