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

Nano (10^-9 m to 10^-6 m)
Molecules, nanostructures, two-dimensional materials and quantum dots. Fabricated, imaged and characterised routinely.

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119 opportunities match your filters

Page 4 of 5

Molecular Design Scientist

Molecular Engineering & Computational Chemistry

The design methodology itself: how candidates are generated, screened and ranked, and how that is validated.

Computational Computational research L4 · Specialist 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

Molecular Engineer

Molecular Engineering & Computational Chemistry

Designing molecules for a target property and handing on candidates a chemist could attempt to make.

Computational 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

Molecular Engineering Lead

Molecular Engineering & Computational Chemistry

What this division computes, who computes it, and the rule that a prediction is described as a prediction.

Computational Computational research L6 · Lead 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

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

Nano Device Engineer

Nano Engineering & Nanotechnology

Devices built from nanoscale structures, characterised against the specification they were designed to.

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 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

Nano Engineer

Nano Engineering & Nanotechnology

Nanoscale designs taken from a target to something a partner facility could attempt.

Applied engineering Established science L3 · Engineer and Scientist 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

Nano Engineering Intern

Nano Engineering & Nanotechnology

One nanoscale design question modelled and written up with its fabrication tolerances.

Applied engineering Established science L1 · Research and Engineering Intern Internship On-site / Hybrid — 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

Nano Sensor Intern

Nano Engineering & Nanotechnology

A sensing mechanism modelled to its noise floor, with the limit of detection derived rather than asserted.

Applied engineering Established science L1 · Research and Engineering Intern Internship On-site / Hybrid — 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

Nano Systems Engineer

Nano Engineering & Nanotechnology

How a nanoscale component behaves once it is part of something a person can hold.

Applied engineering Established science L4 · Specialist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 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

Nanoelectronics Engineer

Semiconductors, Electronics & Micro/Nano Systems

Electronics at the scale where interfaces and contacts dominate the electrical behaviour.

Applied engineering Established science L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-6 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

Nanoelectronics Intern

Nano Engineering & Nanotechnology

A nanoscale device modelled electrically, with the contact and interface effects included rather than idealised away.

Applied engineering Established science L1 · Research and Engineering Intern Internship On-site / Hybrid — 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

Nanofabrication Engineer

Nano Engineering & Nanotechnology

Process development with partner facilities, and the yield data that says whether a route is real.

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 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. + 7 more

Nanofabrication Intern

Nano Engineering & Nanotechnology

A fabrication route documented step by step, with its yield-limiting step identified.

Experimental Active experimental research L1 · Research and Engineering Intern Internship On-site / Hybrid — 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

Nanomaterials Engineer

Nano Engineering & Nanotechnology

The materials themselves: what they are, how they are made, and whether the second batch matches the first.

Experimental Active experimental research L3 · Engineer and Scientist 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

Nanomaterials Intern

Nano Engineering & Nanotechnology

Analysing characterisation data for a nanomaterial and stating what the data does and does not establish.

Applied engineering Established science L1 · Research and Engineering Intern Internship On-site / Hybrid — 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

Nanophotonics Intern

Nano Engineering & Nanotechnology

An optical nanostructure simulated and its spectral response compared against an analytic limit.

Applied engineering Established science L1 · Research and Engineering Intern Internship On-site / Hybrid — 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

Nanotechnology Research Intern

Nano Engineering & Nanotechnology

A literature-grounded review of one nanomaterial class, separating what has been made repeatably from what has been made once.

Applied engineering Established science L1 · Research and Engineering Intern Internship On-site / Hybrid — 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

Principal Materials Engineer

Materials & Advanced Matter

The division's technical direction, and the hardest problems between a computed candidate and a usable material.

Computational Computational research L7 · Principal 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

Principal Molecular Scientist

Molecular Engineering & Computational Chemistry

The division's scientific direction and its hardest modelling problems.

Computational Computational research L7 · Principal 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

Principal Nano Engineer

Nano Engineering & Nanotechnology

The division's technical direction and the hardest problems between design and repeatable fabrication.

Applied engineering Established science L7 · Principal 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

Quantum Materials Scientist (Materials & Advanced Matter)

Materials & Advanced Matter

Materials whose useful behaviour is quantum, and the calculations and measurements that establish it.

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

Scale 10^-10 m to 10^-8 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

Semiconductor Engineer

Semiconductors, Electronics & Micro/Nano Systems

Device design and TCAD modelling against a specification, including process variation.

Applied engineering Established science L3 · Engineer and Scientist Full-Time On-site — 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

Semiconductor Intern

Semiconductors, Electronics & Micro/Nano Systems

One device characteristic derived, simulated, and compared against published measurements.

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

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

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.