Careers · Research opportunities
Every research posting carries a classification and a scale range. Filter by either, and by division, discipline, career rung or how recently it was posted. Everything you choose is kept in the address bar, so a search can be shared or bookmarked.
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.
8 opportunities match your filters
Founder's Office Strategy, Execution & Cross-functional Leverage
Exceptional analytical and problem-solving ability · Strong written + verbal communication — writes well enough that the Founder would publish your drafts under their name · High ownership and execution capability · Sound judgment and professional maturity under pressure + 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
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
Computer Science, AI & Scientific Computing
Property prediction and screening for the materials divisions, with false-positive rates reported.
Scale 10^-10 m to 10^-6 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
Twins of real systems, with a written statement of what each one represents and where it stops being valid.
Scale 10^-3 m to 10^6 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
Mathematics & Computational Foundations
The mathematical structure of physical theories, working across into Division 01.
Scale 10^-100 m to 10^-18 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
Models that carry the physics as a constraint, and the honest account of when that helps and when it does not.
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. + 7 more
Mechanical, Robotics & Multi-Scale Systems
Where tolerance, thermal drift and metrology decide whether a mechanism works at all.
Scale 10^-6 m to 10^0 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
Each division states the scale it works at and the kind of work it does, at the top of its own page.
Ultra-Fundamental & Mathematical Physics
Mathematical and theoretical work on the structure of spacetime, quantum foundations and the frameworks that attempt to describe physics below the Planck length. Entirely theory, mathematics and computation.
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.
Quantum, Atomic & Precision Systems
Quantum information, algorithms, device modelling, sensing and atomic simulation, in the band where quantum states are measured directly rather than inferred.
Molecular Engineering & Computational Chemistry
Quantum chemistry, molecular dynamics and molecular design: computing what a molecule does, and comparing the prediction with measurement wherever measurement exists.
Nano Engineering & Nanotechnology
Nanomaterials, nanostructures, nanoelectronics, nanophotonics, sensing and metrology, across the band where structures are fabricated, imaged and characterised routinely.
Materials & Advanced Matter
Materials discovery and modelling across alloys, ceramics, polymers, composites, metamaterials, quantum and energy materials, and materials for extreme environments.
Semiconductors, Electronics & Micro/Nano Systems
Device physics, microelectronics and VLSI, MEMS and NEMS, sensors and photonics, in the band where design, simulation and prototype meet.
Computer Science, AI & Scientific Computing
The cross-department division: research software, simulation platforms, HPC, AI for science, digital twins, data pipelines and the reproducibility every other division depends on.
Mathematics & Computational Foundations
The mathematical foundations the whole department stands on: numerical methods, convergence and stability, optimisation, probability, and the modelling support every other division draws on.
Mechanical, Robotics & Multi-Scale Systems
Computational mechanics, robotics, precision engineering and advanced manufacturing, and the multiscale modelling that carries a material property up into a system that has to work.
Civil, Structural & Macro-Scale Systems
Structural engineering, smart infrastructure, advanced construction materials, infrastructure sensing and digital twins, and climate-resilient large-scale systems.
Biology, Biotechnology & Bio-Nano Systems
Nanobiotechnology, biomaterials, biosensors, computational biology and bioinformatics, tissue engineering, lab-on-chip and microfluidics, and the interfaces between biology and engineered surfaces.
Energy, Environment & Climate Materials
Battery and energy-storage materials, hydrogen systems, solar materials, catalysis, carbon capture, water purification, environmental nanotechnology and climate systems modelling.
Aerospace, Space & Extreme Environment Engineering
Aerospace and space systems engineering, extreme-environment materials, orbital and planetary systems modelling, space robotics and the architecture work behind long-horizon space research.
Astrophysics, Cosmology & Extreme-Scale Modelling
Computational astrophysics and cosmology: observational data analysis, gravitational and structure modelling, large-scale simulation, and the mathematics of models at and beyond the observable horizon.