Search by what the work actually is

Nano Engineering & Nanotechnology

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

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

Aerospace, Space & Extreme Environment Engineering

Aerospace systems analysed and designed against requirements with traceable margins.

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

Astrophysics, Cosmology & Extreme-Scale Modelling

The pipelines survey data flows through, and the provenance that lets a figure be traced to a run.

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. + 7 more

Astrophysics, Cosmology & Extreme-Scale Modelling

One astrophysical question answered from public survey data, selection function included.

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

Astrophysics, Cosmology & Extreme-Scale Modelling

Astrophysical systems modelled and compared against observation, at scales that are observed.

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

Astrophysics, Cosmology & Extreme-Scale Modelling

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

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

Astrophysics, Cosmology & Extreme-Scale Modelling

Cosmological simulation and inference, with convergence and systematics treated as first-class.

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

Astrophysics, Cosmology & Extreme-Scale Modelling

What this division works on, who works on it, and the rule that beyond the observable horizon we describe a model, not the universe.

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

Astrophysics, Cosmology & Extreme-Scale Modelling

A cosmological calculation carried out and compared against published constraints.

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

Astrophysics, Cosmology & Extreme-Scale Modelling

Cosmological models and their confrontation with data, including where the model is under-determined.

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

Aerospace, Space & Extreme Environment Engineering

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

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, Space & Extreme Environment Engineering

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

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

Astrophysics, Cosmology & Extreme-Scale Modelling

The division's scientific direction and the questions where inference and speculation are hardest to separate.

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

Aerospace, Space & Extreme Environment Engineering

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

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

Aerospace, Space & Extreme Environment Engineering

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

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

Astrophysics, Cosmology & Extreme-Scale Modelling

Several simulation and analysis programmes at once, and the convergence discipline across them.

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

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.

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

Aerospace, Space & Extreme Environment Engineering

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

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, Space & Extreme Environment Engineering

Robotic systems for environments where nobody can intervene, and the autonomy that requires.

Scale 10^0 m to 10^3 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

Aerospace, Space & Extreme Environment Engineering

Whole spacecraft systems: budgets, interfaces, and the subsystem that ends up driving everything.

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. + 5 more

Mechanical, Robotics & Multi-Scale Systems

Turning a design into a repeatable process, and reporting the yield that process actually achieves.

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. + 5 more

Aerospace, Space & Extreme Environment Engineering

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

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

Mechanical, Robotics & Multi-Scale Systems

What this division builds, who builds it, and the rule that a simulated part is never described as a tested one.

Scale 10^-9 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

Mechanical, Robotics & Multi-Scale Systems

The chain from nanoscale property to macroscopic performance, and where each link weakens.

Scale 10^-9 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. + 5 more