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Departments / Extreme-Scale, Nano & Fundamental Engineering / D06

Materials & Advanced Matter

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

Computational Computational research 10^-10 m to 10^0 m 11 open

What this work is, and what it is not

A materials database entry computed by a high-throughput screen is a prediction, and screens are wrong at a rate that is measurable and should be reported. This division states, for every material it puts forward, whether the property was measured, computed, or inferred from a model trained on other materials. A predicted material is a candidate, not a discovery.

Computational research. Computed from established physics. A computed number is a prediction, and it is only as good as its convergence, its error budget, and whatever data it can be checked against.

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.

Where this division sits

Scale range 10^-10 m to 10^0 m

01
02
03
04
05
06
07
08
09
10
11
10-100 m 100 m 10100 m
Experiments reach here 3 bands no experiment reaches This role
B04

Atomic and quantum (10^-12 to 10^-9)
Atoms, ions, electronic structure and quantum states. Directly measured with spectroscopy, traps and quantum devices.

B05

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

B06

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

B07

Meso and human-scale devices (10^-3 to 10^0)
Components, instruments and devices a person can hold. Where most engineering prototypes are built and tested.

Charter

This division discovers and models materials, builds materials-property datasets, and develops materials for engineering use. Its computational predictions are handed on as candidates for experimental validation, and it reports which of its materials have been measured and which have only been computed.

Domains

Materials scienceAdvanced alloysCeramicsPolymersCompositesMetamaterialsTwo-dimensional materialsQuantum materialsEnergy materialsSmart materialsExtreme-environment materials

Disciplines

Materials science Physics Chemistry Scientific computing Artificial intelligence

Works with

Divisions this one collaborates with routinely.

D04D05D07D10D11D13D14

11 open opportunities

Grouped by career rung. Every posting states its own classification, its scale range and what it expects you to have already done.

Level 1 2

Advanced Materials Intern

A scoped review of one advanced-material class, separating measured properties from computed ones.

Computational Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — 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

Materials Research Intern

One structure-property relationship investigated computationally and checked against measured data.

Computational Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — 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

Level 3 5

2D Materials Engineer

Two-dimensional materials, where the substrate and the edges determine most of what is measured.

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

Scale 10^-10 m to 10^-7 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

Computational Materials Scientist

The calculations: which level of theory, how convergence was tested, what the number is worth.

Computational Computational research L3 · Engineer and Scientist 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

Materials Characterisation Engineer

Turning characterisation runs into defensible property values with uncertainty.

Experimental Active experimental research L3 · Engineer and Scientist 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. + 7 more

Materials Engineer

Materials selected and specified against an engineering requirement another division has stated.

Applied engineering Established science L3 · Engineer and Scientist 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

Thin Film Engineer

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

Level 4 1

Quantum Materials Scientist (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

Level 5 1

Senior Materials Scientist

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

Level 6 1

Advanced Materials Lead

What this division searches for, who searches, and the rule that a prediction is labelled a prediction.

Computational Computational research L6 · Lead 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

Level 7 1

Principal Materials Engineer

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

Other divisions in this department

Ultra-Fundamental & Mathematical Physics Particle, High-Energy & Nuclear Systems Quantum, Atomic & Precision Systems Molecular Engineering & Computational Chemistry Nano Engineering & Nanotechnology Semiconductors, Electronics & Micro/Nano Systems Computer Science, AI & Scientific Computing Mathematics & Computational Foundations Mechanical, Robotics & Multi-Scale Systems Civil, Structural & Macro-Scale Systems Biology, Biotechnology & Bio-Nano Systems Energy, Environment & Climate Materials Aerospace, Space & Extreme Environment Engineering Astrophysics, Cosmology & Extreme-Scale Modelling