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.
1197 opportunities
Page 1 of 50
Own and launch a strategic category by driving partnerships, stakeholder engagement, and growth initiatives.
Business Development · Partnership Management · Communication & Negotiation · Project Management + 6 more
Own & build a full product
Product Thinking · Initiative · Problem Solving · Basic Tech Literacy + 3 more
Programme Leadership · Quantum + ASI
Proven experience leading a research / education / talent program at national scale (academic centre, accelerator, deep-tech bootcamp, or equivalent) · Strong technical foundation in either Quantum Information Science OR Frontier AI / ASI — ideally adjacent depth in both · PhD or equivalent research credibility in physics, CS, mathematics, or ML preferred; senior industry leaders with comparable depth welcome · Demonstrated ability to convene faculty, government, and industry stakeholders around a shared programme + 6 more
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
Build foundational AI from first principles — proprietary language models, agentic systems, training infrastructure and the compilers and runtimes beneath them.
Python · PyTorch · Transformer architectures · Deep learning + 48 more
Win non-dilutive funding: government grants, innovation schemes, R&D incentives.
Grant writing (government programmes) · Indian innovation-funding landscape · Budget preparation · Compliance & reporting + 3 more
Multiply the founder's effectiveness: run the operating cadence, own special projects end to end.
Structured thinking · Exceptional writing · Analytics (SQL/spreadsheets) · Project execution + 2 more
Engineer the next dimension of human-computer interaction: immersive, intelligent, interactive environments.
Unity · Unreal Engine · C# · C++ + 9 more
Build production computer-vision systems — detection, pose, video analytics, 3D vision — that run in real time.
Python · C++ · PyTorch · OpenCV + 8 more
Deliver lectures, run labs, and mentor 1,000 selected cadets across India's flagship 30-day Quantum Science & ASI Bootcamp, culminating at IIT Guwahati.
Deep expertise in one or more of: quantum mechanics, quantum information, quantum hardware, quantum algorithms, quantum cryptography, AI/ML foundations, deep learning, large language models, AI alignment & safety, AGI/ASI research. · Strong teaching ability across a diverse audience spectrum (Class 11 students to working professionals). · Fluency with relevant tools: Qiskit, PennyLane, Cirq, Python, PyTorch, Hugging Face, JAX, or equivalent. · Comfort with hybrid delivery (live virtual + in-person). + 3 more
User Interface & User Experience Design
• Figma · • UI Design · • UX Design · • Wireframing + 10 more
Computer Science, AI & Scientific Computing
What this division builds for the others, who builds it, and the rule that no model ships without its baseline.
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
Nano Engineering & Nanotechnology
What this division designs, who designs it, and the rule that maturity is stated in every claim.
Scale 10^-9 m to 10^-6 m
Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more
Campus Outreach, Awareness, Recruiting
Strong written communicator in English (regional language fluency is a major plus) · Comfort with public speaking + small-group facilitation · Active on at least one student community (campus club, hackathon circuit, student council, technical society, debate society, etc.) · Reliable, self-directed, professional async communicator + 2 more
Drone Engineering, Systems Integration, Prototyping & Team Leadership
Micro-UAV / Nano-Drone Systems: Full-stack drone design, miniaturised flight control, micro-propulsion · Embedded Systems: PCB design, firmware, real-time OS, sensor fusion, onboard compute · Power & Energy: Micro-power management, energy harvesting, battery systems for sub-5g devices · Mechanical & Materials: Lightweight structural design, graphene or composite material handling, thermal management + 3 more
Research, Engineering, Systems Design, Simulation, Propulsion, Nanotechnology & Communication Development
Nano-Device Engineering: Nanofabrication, MEMS, miniaturised systems design, nano-power management · Aerospace Engineering: CFD, aerodynamics, flight dynamics, atmospheric modelling, UAV systems · Underwater Systems: Acoustic communication, pressure hull design, deep-sea propulsion, AUV architecture · Space & Propulsion: Orbital mechanics, rocket propulsion, ion drives, multi-environment thrust systems + 7 more
Bridge technology and people operations by supporting technical recruitment, candidate evaluation, HR systems, and workforce processes across technology-driven teams.
Strong communication and professional writing skills. · Basic understanding of technology and technical terminology. · Ability to understand software, engineering, AI, data, and technology-related profiles. · Resume screening and candidate analysis. + 8 more
Design, deploy, and scale the AI infrastructure powering EduRankAI's intelligent applications and machine learning platforms.
MLOps · AI Infrastructure · Machine Learning Operations · Python + 16 more
Build strategic partnerships with institutions, enterprises, governments, and research organizations to accelerate EduRankAI's growth
Business Development · Strategic Partnerships · Institutional Relations · Enterprise Sales + 16 more
Drive sustainable organic growth through community building, brand strategy, partnerships, and educational storytelling.
Growth Marketing · Organic Growth · Community Building · Brand Strategy + 16 more
Lead global strategic partnerships, government relations, and institutional collaborations to accelerate EduRankAI's international growth.
Business Development · Strategic Partnerships · Government Relations · International Relations + 16 more
Lead the architecture, integration, and long-term technology strategy across AI, Quantum Computing, Robotics, HPC, IoT, Cloud, and Enterprise Platforms.
Enterprise Architecture · Solution Architecture · Artificial Intelligence · Large Language Models (LLMs) + 16 more
Drive innovation by identifying emerging technologies, strategic collaborations, research opportunities, and high-impact initiatives that shape EduRankAI's future.
Innovation Strategy · Technology Scouting · Emerging Technologies · Research Analysis + 16 more
Protect EduRankAI's intellectual property, ensure legal compliance, manage corporate governance, and support strategic business growth.
Corporate Law · Technology Law · Intellectual Property · Patent Management + 16 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.