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.
1199 opportunities
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Technology transforming insurance — underwriting, claims, and distribution — a distinct FinTech sub-vertical.
InsurTech landscape research · Insurance fundamentals · Documentation · Literature review + 1 more
Technology for investment and wealth management — robo-advisory, portfolio tools — a distinct FinTech sub-vertical.
WealthTech landscape research · Investment fundamentals · Documentation · Literature review + 1 more
Credit and financial-risk analytics specifically in the FinTech context — modelling default risk, fraud risk, and portfolio risk.
Risk modelling fundamentals · Statistics · Python/R · Documentation + 1 more
Applying data-science methods specifically to financial datasets — a technical specialisation distinct from our general Financial Analyst roles.
Python/R · Statistics · Financial data literacy · Machine learning fundamentals + 1 more
Core banking and neo-banking technology — a research track into how banking infrastructure is being modernised.
Banking technology fundamentals · API/open-banking literacy · Documentation · Literature review + 1 more
The mechanics of digital payment systems — rails, gateways, and settlement — directly relevant to our own Razorpay-based payment flows.
Payment systems fundamentals · API literacy · Documentation · Security awareness + 1 more
A new research and applied vertical into financial technology — the products and infrastructure reshaping how money moves.
FinTech landscape research · Financial literacy · Documentation · Literature review + 1 more
Broader public-policy research feeding our understanding of the regulatory and social context we operate in.
Public policy research · Literature review · Analytical writing · Documentation + 1 more
Understanding the regulatory landscape governing technology and public services — research support for compliance-aware product decisions.
Regulatory research · Policy literacy · Documentation · Literature review + 1 more
Data-driven, technology-enabled governance decision-making — connecting our smart-cities and public-sector research streams.
Smart governance research · Data literacy · Documentation · Literature review + 1 more
Analytics on open-government and public-sector datasets — a practical, data-first complement to our policy-research roles.
SQL · Python/R · Open-data literacy · Data visualisation + 1 more
e-Governance service delivery specifically — the citizen-facing digital-services layer of government.
e-Governance research · Service-design literacy · Documentation · Literature review + 1 more
Digital transformation of governance processes — a research track into how technology reshapes public administration.
Digital governance research · Public policy literacy · Documentation · Literature review + 1 more
Analytics applied specifically to manufacturing supply chains — a manufacturing-context complement to our broader Supply Chain vertical.
Python/R/SQL · Supply-chain domain literacy · Data visualisation · Statistical analysis + 1 more
Quality systems and process control applied to manufacturing — a technical-engineering complement to our broader QA practice.
Quality engineering fundamentals · Statistical process control basics · Documentation · Analytical thinking + 1 more
The planning discipline behind manufacturing operations — scheduling, capacity, and resource allocation.
Production planning fundamentals · Scheduling/capacity models · Documentation · Analytical thinking + 1 more
Data analytics applied to manufacturing/production datasets — yield, downtime, throughput analysis.
Python/R/SQL · Manufacturing-domain literacy · Data visualisation · Statistical analysis + 1 more
Connected, data-driven manufacturing floors — sensors and analytics applied to production environments.
Smart manufacturing fundamentals · Research literature review · Documentation · Data literacy + 1 more
A new research vertical into Industry 4.
Industry 4.0 fundamentals · Research literature review · Documentation · Analytical thinking + 1 more
Analytics on space-mission and telemetry data — distinct from satellite Earth-observation data, this is spacecraft-health and mission-performance data.
Python/R · Time-series analysis · Data visualisation · Space-domain literacy + 1 more
Simulation-driven aerospace engineering — modelling aerodynamics, structures, and systems before any physical prototype exists.
Simulation tools (MATLAB/Python) · Aerodynamics/structures basics · Model validation · Documentation + 1 more
Applying AI to space-domain problems — autonomous navigation, anomaly detection in telemetry, satellite-image analysis.
Python · Machine learning fundamentals · Space-domain literacy · Documentation + 1 more
The planning discipline behind space and aerial missions — trajectory, scheduling, and resource-allocation problems.
Mission-planning fundamentals · Basic orbital/trajectory concepts · Simulation/modelling · Documentation + 1 more
The software that flies the vehicle — flight-control and onboard-computer software, a distinct discipline from ground-based mission software.
C/C++ · Real-time systems basics · Flight-software architecture awareness · Testing/validation + 1 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.