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
Clear

18 opportunities match your filters

Computational Astrophysics Intern

Astrophysics, Cosmology & Extreme-Scale Modelling

A small simulation run at two resolutions, with the convergence difference reported.

Simulation Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

Scale 10^13 m to 10^100 m

Can explain what a redshift measures and what has to be assumed to turn it into a distance. · Has analysed a real astronomical dataset, including its selection function. · Statistics and Bayesian inference: priors, posteriors, and what a credible interval claims. · Python for astronomical data analysis, in a pipeline that reruns. + 5 more

Extreme Materials Intern

Aerospace, Space & Extreme Environment Engineering

How one material behaves under an extreme-environment exposure, and what the data does not cover.

Simulation Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

Scale 10^-9 m to 10^0 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 4 more

Orbital Systems Engineer

Aerospace, Space & Extreme Environment Engineering

Orbits, constellations and the operational consequences of each design choice.

Simulation Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^6 m to 10^9 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 6 more

Principal Space Systems Engineer

Aerospace, Space & Extreme Environment Engineering

The division's technical direction and its hardest system-level problems.

Simulation Computational research L7 · Principal Full-Time On-site — Kolkata, West Bengal, India

Scale 10^3 m to 10^13 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 4 more

Senior Aerospace Engineer

Aerospace, Space & Extreme Environment Engineering

Several aerospace programmes at once, and the margin discipline applied across them.

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

Scale 10^3 m to 10^13 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 4 more

Space Engineering Lead

Aerospace, Space & Extreme Environment Engineering

What this division works on, who works on it, and the rule that maturity is stated in every outward claim.

Simulation Computational research L6 · Lead Full-Time On-site — Kolkata, West Bengal, India

Scale 10^3 m to 10^13 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 4 more

Space Materials Engineer

Aerospace, Space & Extreme Environment Engineering

Materials for vacuum, radiation and thermal cycling, and the qualification evidence they would need.

Simulation Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^0 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 4 more

Aerospace Research Intern

Aerospace, Space & Extreme Environment Engineering

One aerospace analysis carried out under real constraints that trade against each other.

Simulation Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

Scale 10^3 m to 10^13 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 4 more

Computational Civil Engineer

Civil, Structural & Macro-Scale Systems

Structural and system models at infrastructure scale, with their validation evidence.

Simulation Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^0 m to 10^6 m

Can analyse a statically indeterminate structure and check the result by an independent method. · Structural analysis: load paths, limit states, and why a code has both. · Has run a structural finite element model and validated it against hand calculation. · Construction materials: concrete, steel, and the time-dependent behaviour of each. + 4 more

Space Systems Intern

Aerospace, Space & Extreme Environment Engineering

A mission concept analysed to first-order budgets, with the binding constraint identified.

Simulation Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

Scale 10^3 m to 10^13 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 4 more

Computational Mechanics Engineer

Mechanical, Robotics & Multi-Scale Systems

The simulations themselves, and the evidence that each one has converged.

Simulation Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-3 m to 10^3 m

Can draw a free-body diagram for a real assembly and derive its governing equations. · Solid mechanics: stress, strain, failure criteria, and which criterion applies to which material. · Has run a finite element analysis and carried out a mesh convergence study on it. · CAD to the level of producing a manufacturable part, not just a picture. + 4 more

Computational Mechanics Intern

Mechanical, Robotics & Multi-Scale Systems

A finite element problem set up from scratch and verified against a closed-form solution.

Simulation Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

Scale 10^-3 m to 10^3 m

Can draw a free-body diagram for a real assembly and derive its governing equations. · Solid mechanics: stress, strain, failure criteria, and which criterion applies to which material. · Has run a finite element analysis and carried out a mesh convergence study on it. · CAD to the level of producing a manufacturable part, not just a picture. + 4 more

Digital Twin Engineer

Computer Science, AI & Scientific Computing

Twins of real systems, with a written statement of what each one represents and where it stops being valid.

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

Scale 10^-3 m to 10^6 m

Fluent in Python, and able to write code somebody else can read, test and extend. · Data structures and algorithms to the level of choosing correctly and justifying the choice. · Comfortable on Linux, and with Git as a working tool rather than a save button. · Has written tests for numerical code and can explain what a tolerance in a test means. + 6 more

Simulation Engineer

Computer Science, AI & Scientific Computing

Simulation platforms: solvers, verification, and the convergence evidence behind every run.

Simulation Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-100 m to 10^100 m

Fluent in Python, and able to write code somebody else can read, test and extend. · Data structures and algorithms to the level of choosing correctly and justifying the choice. · Comfortable on Linux, and with Git as a working tool rather than a save button. · Has written tests for numerical code and can explain what a tolerance in a test means. + 6 more

Molecular Systems Engineer

Molecular Engineering & Computational Chemistry

Multi-molecule and supramolecular systems, where the interesting behaviour is collective.

Simulation Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-10 m to 10^-7 m

Can explain what a basis set is, and what changes when you change one. · Has run a geometry optimisation and can say how convergence was judged. · Understands the difference between a force field and an electronic-structure calculation, and when each is appropriate. · Thermodynamics to the level of relating a free energy difference to an equilibrium constant. + 4 more

Atomic Simulation Engineer

Quantum, Atomic & Precision Systems

Many-body and atomic simulations at the sizes that can actually be converged.

Simulation Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-12 m to 10^-8 m

Can write the state of a two-qubit system, apply a gate to it, and compute a measurement probability by hand. · Comfortable with Hermitian operators, eigendecomposition, tensor products and partial trace. · Has implemented a quantum circuit in Qiskit or an equivalent SDK and interpreted its output including noise. · Can state the difference between a simulated result and a result from hardware, and does so unprompted. + 4 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

Particle Simulation Engineer

Particle, High-Energy & Nuclear Systems

The Monte Carlo pipelines: correctness, variance reduction, and making them run the same way twice.

Simulation Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-18 m to 10^-12 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

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.