Careers · Research opportunities

Search by what the work actually is

Every research posting carries a classification and a scale range. Filter by either, and by division, discipline, career rung or how recently it was posted. Everything you choose is kept in the address bar, so a search can be shared or bookmarked.

Scale bands are a research classification, not a claim of experimental reach. Most of this span cannot be probed by any apparatus that exists: nothing below about 10^-19 m has been measured directly, and anything at 10^26 m or beyond is inferred from observation rather than engineered. Every opportunity states the kind of work it actually is.

All roles across every team → Department directory →

Browse by scale band

Eleven bands from 10^-100 m to 10¹⁰⁰ m. Click one to filter. The hatched bands are the ones no apparatus reaches.

10^-100 m 10⁰ m 10¹⁰⁰ m

Experiments reach here 3 bands no experiment reaches

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Filtering by Search: bootcamp quantum Clear all

2 opportunities match your filters

Project Director — Quantum Science & Technology + ASI National Bootcamp

Programme Leadership · Quantum + ASI

Full-Time On-site — Kolkata, West Bengal, India

Proven experience leading a research / education / talent program at national scale (academic centre, accelerator, deep-tech bootcamp, or equivalent) · Strong technical foundation in either Quantum Information Science OR Frontier AI / ASI — ideally adjacent depth in both · PhD or equivalent research credibility in physics, CS, mathematics, or ML preferred; senior industry leaders with comparable depth welcome · Demonstrated ability to convene faculty, government, and industry stakeholders around a shared programme + 6 more

Resource Person — Quantum Science & ASI Bootcamp (Faculty Track)

Deliver lectures, run labs, and mentor 1,000 selected cadets across India's flagship 30-day Quantum Science & ASI Bootcamp, culminating at IIT Guwahati.

Consultant On-site — Kolkata, West Bengal, India

Deep expertise in one or more of: quantum mechanics, quantum information, quantum hardware, quantum algorithms, quantum cryptography, AI/ML foundations, deep learning, large language models, AI alignment & safety, AGI/ASI research. · Strong teaching ability across a diverse audience spectrum (Class 11 students to working professionals). · Fluency with relevant tools: Qiskit, PennyLane, Cirq, Python, PyTorch, Hugging Face, JAX, or equivalent. · Comfort with hybrid delivery (live virtual + in-person). + 3 more

Browse by division

Each division states the scale it works at and the kind of work it does, at the top of its own page.

Ultra-Fundamental & Mathematical Physics

Mathematical and theoretical work on the structure of spacetime, quantum foundations and the frameworks that attempt to describe physics below the Planck length. Entirely theory, mathematics and computation.

Particle, High-Energy & Nuclear Systems

Modelling and data analysis for particle, high-energy and nuclear physics: interaction models, Monte Carlo pipelines, detector data, and radiation effects in materials.

Quantum, Atomic & Precision Systems

Quantum information, algorithms, device modelling, sensing and atomic simulation, in the band where quantum states are measured directly rather than inferred.

Molecular Engineering & Computational Chemistry

Quantum chemistry, molecular dynamics and molecular design: computing what a molecule does, and comparing the prediction with measurement wherever measurement exists.

Nano Engineering & Nanotechnology

Nanomaterials, nanostructures, nanoelectronics, nanophotonics, sensing and metrology, across the band where structures are fabricated, imaged and characterised routinely.

Materials & Advanced Matter

Materials discovery and modelling across alloys, ceramics, polymers, composites, metamaterials, quantum and energy materials, and materials for extreme environments.

Semiconductors, Electronics & Micro/Nano Systems

Device physics, microelectronics and VLSI, MEMS and NEMS, sensors and photonics, in the band where design, simulation and prototype meet.

Computer Science, AI & Scientific Computing

The cross-department division: research software, simulation platforms, HPC, AI for science, digital twins, data pipelines and the reproducibility every other division depends on.

Mathematics & Computational Foundations

The mathematical foundations the whole department stands on: numerical methods, convergence and stability, optimisation, probability, and the modelling support every other division draws on.

Mechanical, Robotics & Multi-Scale Systems

Computational mechanics, robotics, precision engineering and advanced manufacturing, and the multiscale modelling that carries a material property up into a system that has to work.

Civil, Structural & Macro-Scale Systems

Structural engineering, smart infrastructure, advanced construction materials, infrastructure sensing and digital twins, and climate-resilient large-scale systems.

Biology, Biotechnology & Bio-Nano Systems

Nanobiotechnology, biomaterials, biosensors, computational biology and bioinformatics, tissue engineering, lab-on-chip and microfluidics, and the interfaces between biology and engineered surfaces.

Energy, Environment & Climate Materials

Battery and energy-storage materials, hydrogen systems, solar materials, catalysis, carbon capture, water purification, environmental nanotechnology and climate systems modelling.

Aerospace, Space & Extreme Environment Engineering

Aerospace and space systems engineering, extreme-environment materials, orbital and planetary systems modelling, space robotics and the architecture work behind long-horizon space research.

Astrophysics, Cosmology & Extreme-Scale Modelling

Computational astrophysics and cosmology: observational data analysis, gravitational and structure modelling, large-scale simulation, and the mathematics of models at and beyond the observable horizon.