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.

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

Micro (10^-6 m to 10^-3 m)
Microelectronics, MEMS, microfluidics and cellular biology. Mature fabrication and metrology.

Clear

103 opportunities match your filters

Page 5 of 5

Senior Materials Scientist

Materials & Advanced Matter

Several materials programmes at once, and the provenance discipline applied across them.

Computational Computational research L5 · Senior Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-10 m to 10^0 m

Can relate a crystal structure to at least one measurable property and explain the mechanism. · Reads a phase diagram and can say what happens on cooling through a boundary. · Has analysed real characterisation data — diffraction, microscopy or mechanical testing — and stated its uncertainty. · Python for data analysis over a materials dataset. + 4 more

Senior Nano Engineer

Nano Engineering & Nanotechnology

Several nanoscale programmes at once, and the maturity claims made about all of them.

Applied engineering Established science L5 · Senior Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Thin Film Engineer

Materials & Advanced Matter

Films: deposition conditions, film-substrate interfaces, and whether the properties survive the process.

Prototype Active experimental research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-6 m

Can relate a crystal structure to at least one measurable property and explain the mechanism. · Reads a phase diagram and can say what happens on cooling through a boundary. · Has analysed real characterisation data — diffraction, microscopy or mechanical testing — and stated its uncertainty. · Python for data analysis over a materials dataset. + 5 more

VLSI Intern

Semiconductors, Electronics & Micro/Nano Systems

A small digital block written in RTL, simulated, and verified against a testbench you wrote.

Applied engineering Established science L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

Scale 10^-6 m to 10^-3 m

Can derive or explain the current-voltage characteristic of a diode or a MOSFET from device physics. · Has simulated a circuit in SPICE and compared the result against a hand calculation. · Semiconductor physics: carriers, doping, band structure, junctions. · Can read a datasheet and identify the conditions a specification was measured under. + 5 more

Extreme-Scale Theory Lead

Ultra-Fundamental & Mathematical Physics

The theoretical thread that runs across the department's whole declared span, and keeping its claims honest at both ends.

Mathematical Theoretical research L6 · Lead Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-100 m to 10^100 m

Can derive the Euler-Lagrange equations for a field theory from its action and state the symmetries that follow. · Fluent with tensor calculus in index and index-free notation, including covariant differentiation and curvature. · Has taken a graduate course in general relativity or quantum field theory and can reproduce its central derivations. · Can implement a numerical calculation in Python, Julia or C++ and state its convergence behaviour. + 5 more

Nuclear Materials Scientist

Particle, High-Energy & Nuclear Systems

How radiation damages a material over time, modelled at the level where the damage is created.

Simulation Computational research L4 · Specialist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-12 m to 10^-6 m

Can state what a cross-section is, in what units, and how it relates to an event rate. · Has written a Monte Carlo simulation and can explain its variance and how it was reduced. · Competent in statistics: likelihood, confidence intervals, and why a p-value is not a probability that a hypothesis is true. · Can write analysis code in Python or C++ that another person can run on the same data and reproduce. + 6 more

Quantum Cosmology Scientist

Ultra-Fundamental & Mathematical Physics

The regime where quantum theory and cosmology have to be written in the same equations, and what that costs.

Theoretical Theoretical research L4 · Specialist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-100 m to 10^26 m

Can derive the Euler-Lagrange equations for a field theory from its action and state the symmetries that follow. · Fluent with tensor calculus in index and index-free notation, including covariant differentiation and curvature. · Has taken a graduate course in general relativity or quantum field theory and can reproduce its central derivations. · Can implement a numerical calculation in Python, Julia or C++ and state its convergence behaviour. + 5 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.