Departments / Extreme-Scale, Nano & Fundamental Engineering / D02

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.

Computational Computational research 10^-18 m to 10^-12 m 11 open

What this work is, and what it is not

This is the smallest scale anything has actually been measured at, and the measurement is statistical. Results here are distributions with uncertainties, not single numbers, and a result quoted without its uncertainty is not a result. We analyse public and collaboration datasets; we do not operate accelerator facilities and do not claim to.

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^-18 m to 10^-12 m

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10^-100 m 10⁰ m 10¹⁰⁰ m

Experiments reach here 3 bands no experiment reaches This role

B03

Subatomic, particle and nuclear (10^-18 to 10^-12)
Quarks, nucleons and nuclei. Studied through accelerators, detectors, and the statistical analysis of very large datasets.

Charter

This division works where theory meets very large datasets. It builds simulation pipelines, analyses public and collaboration datasets, quantifies uncertainty honestly, and supports detector and materials research with computation. It does not operate an accelerator.

Domains

Particle physicsHigh-energy physicsQuantum field theoryNuclear physicsDetector scienceComputational particle physicsAccelerator-related simulationRadiation and material interaction modelling

Disciplines

Physics Mathematics Scientific computing Computer science

Works with

Divisions this one collaborates with routinely.

D01D06D08D09

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 3

High-Energy Physics Intern

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

Computational Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

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

Nuclear Physics Research Intern

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

Computational Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

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 Physics Intern

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

Computational Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

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

Level 3 4

Computational High-Energy Scientist

Computing observables from the theory and confronting them with measured distributions.

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

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

Detector Data Engineer

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

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

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 Simulation Engineer

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

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

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

Research Scientist

A whole question in the division's programme, framed, computed and reported with its limits.

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

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

Level 4 1

Nuclear Materials Scientist

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

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

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

Level 5 1

Senior Particle Physicist

Several analyses at once, and the statistical judgement applied to all of them.

Computational Computational research L5 · Senior Full-Time On-site — Kolkata, West Bengal, India

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

Level 6 1

High-Energy Physics Lead

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

Computational Computational research L6 · Lead Full-Time On-site — Kolkata, West Bengal, India

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

Level 7 1

Principal High-Energy Scientist

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

Computational Computational research L7 · Principal Full-Time On-site — Kolkata, West Bengal, India

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

Other divisions in this department

Ultra-Fundamental & Mathematical Physics Quantum, Atomic & Precision Systems Molecular Engineering & Computational Chemistry Nano Engineering & Nanotechnology Materials & Advanced Matter 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