Search by what the work actually is

Particle, High-Energy & Nuclear Systems

Turning raw detector output into calibrated, analysable data with the calibration recorded.

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

Ultra-Fundamental & Mathematical Physics

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

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

Ultra-Fundamental & Mathematical Physics

What this division works on, who works on it, and the written standard every result meets before it leaves.

Scale 10^-100 m to 10^-35 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

Particle, High-Energy & Nuclear Systems

Reproducing a published measurement from open data, and writing up where the reproduction diverges.

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. + 4 more

Particle, High-Energy & Nuclear Systems

What this division analyses, who analyses it, and how uncertainty is reported before anything is published.

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. + 4 more

Ultra-Fundamental & Mathematical Physics

Reconstructing a published derivation in full, including the steps the paper omitted, and writing up where it becomes ambiguous.

Scale 10^-100 m to 10^-35 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

Ultra-Fundamental & Mathematical Physics

Framing and answering a whole mathematical question in the division's programme, and reporting its limits.

Scale 10^-100 m to 10^-35 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

Molecular Engineering & Computational Chemistry

A scoped molecular design question, taken from a hypothesis to a ranked candidate list with stated uncertainty.

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 & Computational Chemistry

A molecular dynamics run set up, equilibrated and analysed, with the ensemble choice justified.

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

Particle, High-Energy & Nuclear Systems

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

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, High-Energy & Nuclear Systems

A scoped nuclear-structure or reaction-rate calculation checked against tabulated values.

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. + 4 more

Particle, High-Energy & Nuclear Systems

One analysis on a public dataset, from selection to a distribution with uncertainties.

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. + 4 more

Particle, High-Energy & Nuclear Systems

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

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

Particle, High-Energy & Nuclear Systems

The scientific direction of the division's computational programme and the standard its results meet.

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. + 4 more

Ultra-Fundamental & Mathematical Physics

The hardest open problems the division holds, and the standard its derivations are held to.

Scale 10^-100 m to 10^-35 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

Quantum, Atomic & Precision Systems

The division's scientific direction, and the hardest modelling problems it holds.

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

Quantum, Atomic & Precision Systems

Algorithm design and honest resource estimation, including what it would take on hardware that exists.

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. + 6 more

Quantum, Atomic & Precision Systems

Implementing and analysing a known quantum algorithm at a size that actually runs, and reporting where it stops being an advantage.

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

Ultra-Fundamental & Mathematical Physics

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

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

Quantum, Atomic & Precision Systems

Turning a quantum model into working, tested code that other divisions can build on.

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

Quantum, Atomic & Precision Systems

What this division builds, who builds it, and the rule that no quantum claim ships without its classical baseline.

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

Ultra-Fundamental & Mathematical Physics

A literature-grounded comparison of how two quantum-gravity programmes treat the same limiting case.

Scale 10^-100 m to 10^-35 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

Ultra-Fundamental & Mathematical Physics

Sustained work inside one quantum-gravity framework, including the parts of it that do not work.

Scale 10^-100 m to 10^-35 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

Quantum, Atomic & Precision Systems

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

Scale 10^-10 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. + 6 more