Search by what the work actually is

Computer Science, AI & Scientific Computing

How the department applies machine learning to science, and the evidence standard that applies to all of it.

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

Semiconductors, Electronics & Micro/Nano Systems

The division's technical direction and the hardest problems between a model and a manufacturable part.

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

Mathematics & Computational Foundations

The department's hardest mathematical questions and the standard every numerical claim is held to.

Scale 10^-100 m to 10^100 m

Can state and use the definition of convergence for a numerical scheme, not just cite the order. · Linear algebra to the level of conditioning, decompositions and why an ill-conditioned problem is not a bug in the solver. · Real analysis: limits, continuity, and what makes a problem well-posed. · Has implemented a numerical method from a paper and verified its convergence order empirically. + 5 more

Semiconductors, Electronics & Micro/Nano Systems

The fabrication flow with partner facilities: integration, variation, and yield-limiting steps.

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. + 7 more

Computer Science, AI & Scientific Computing

Machine learning on scientific data, with the evaluation designed before the model is chosen.

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. + 8 more

Computer Science, AI & Scientific Computing

Taking a working research script and turning it into a tested, documented package somebody else can install.

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

Computer Science, AI & Scientific Computing

One numerical method implemented, tested against an analytic case, and profiled.

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

Computer Science, AI & Scientific Computing

Research software built to survive handover: tested, documented, and maintained.

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

Semiconductors, Electronics & Micro/Nano Systems

What this division builds, who builds it, and the rule that simulated and fabricated are never conflated.

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

Mathematics & Computational Foundations

Several divisions' mathematical problems at once, and the rigour standard applied across them.

Scale 10^-100 m to 10^100 m

Can state and use the definition of convergence for a numerical scheme, not just cite the order. · Linear algebra to the level of conditioning, decompositions and why an ill-conditioned problem is not a bug in the solver. · Real analysis: limits, continuity, and what makes a problem well-posed. · Has implemented a numerical method from a paper and verified its convergence order empirically. + 5 more

Computer Science, AI & Scientific Computing

Several divisions' computational needs at once, and the engineering standard applied across them.

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

Semiconductors, Electronics & Micro/Nano Systems

Several device programmes at once, and the specification discipline applied across them.

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

Computer Science, AI & Scientific Computing

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

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

Materials & Advanced Matter

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

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

Materials & Advanced Matter

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

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 & Advanced Matter

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

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

Molecular Engineering & Computational Chemistry

Electronic-structure calculations that answer a question the division actually has, at a defensible level of theory.

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

Materials & Advanced Matter

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

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

Semiconductors, Electronics & Micro/Nano Systems

The device as built: characterisation, failure analysis, and why measured differs from simulated.

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

Semiconductors, Electronics & Micro/Nano Systems

A circuit designed to a written specification, simulated, and checked by hand calculation.

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

Materials & Advanced Matter

Turning characterisation runs into defensible property values with uncertainty.

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 & Advanced Matter

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

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 & Advanced Matter

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

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

Semiconductors, Electronics & Micro/Nano Systems

A micromechanical structure modelled in FEM, with its resonance compared against an analytic estimate.

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