• Pre publication research: Track arXiv, bioRxiv, TechRxiv, chemRxiv, and IEEE Xplore to note active research groups and inventor networks in priority domains, identifying technically significant work before spinout formation.
• Patent intelligence: Monitor filings across USPTO, PCT, IPO (India), CNIPA (China), Espacenet, and other technologically advanced national patent offices (JPO in Japan, KIPO in South Korea, DPMA in Germany etc.) weekly, supported by professional analytical platforms (Derwent Innovation, PatSnap, or Questel Orbit) for cross jurisdictional family tracking and citation mapping, and AI assisted tools (IPRally, Amplified) for semantic similarity detection. The purpose is to surface assignee movements, inventor clustering, and filing patterns that signal commercialisation activity.
• Government grant and award databases: Track DARPA, ARPA-E, IARPA, SBIR/STTR, and NSF awards in the US; iDEX, ADITI, IN-SPACe, ANRF, DST, DRDO, SERB, BIRAC, and MEITY programs in India; NSFC and MOST's National Key R&D Program in China; NRF and MSIT programs in South Korea; NSTC in Taiwan; DFG and BMBF in Germany; JST Moonshot R&D Program and NEDO in Japan; and EIC, Israel Innovation Authority, Innovate UK, and DASA across Europe and Israel.
• University and research institution output: Monitor IITs, IISc, TIFR, and CSIR laboratories in India; MIT, Stanford, Caltech, UC Berkeley, Carnegie Mellon, and Georgia Tech in the US; Cambridge, Oxford, ETH Zurich, and TU Delft in Europe; Tsinghua, Peking University, USTC, and the Chinese Academy of Sciences in China; KAIST in South Korea; the University of Tokyo in Japan; Technion and the Weizmann Institute in Israel; the University of Waterloo in Canada; and IMEC in Belgium, among other technology defining research institutions across these jurisdictions. Combine formal TTO disclosures where they exist with publication output, patent filings, spinout incorporation, and founder transition signals where they do not.
• Pre visibility company formation: Track MCA/ROC filings in India, SEC Form D filings in the US, AIC (Administration for Industry and Commerce) and SAMR (State Administration for Market Regulation) filings in China, and Companies House filings in the UK alongside national registry filings across the EU, as the primary legal formation signals, with equivalent corporate registries monitored across other technologically advanced jurisdictions where deep tech formation activity is material. Monitor founder institutional affiliation changes on LinkedIn, domain registrations via DomainTools, angel investment disclosures across IAN, Lead Angels, and AngelList syndicates, and cohort announcements from hard tech focused accelerators (Y Combinator, Activate, IndieBio, IIT Madras Incubation Cell, SINE, NSRCEL etc.). Supplement with targeted hiring monitoring on LinkedIn and specialist engineering platforms for named stealth companies in priority domains.

• Weekly intelligence briefs: Two to three pages summarising the most significant technical and commercial developments across monitored domains, with explicit flags for time sensitive opportunities.
• Monthly startup scouting reports: Structured profiles of top early stage companies, with routing recommendations as the primary output.
• Quarterly landscape assessments: Structural synthesis of where durable clusters are forming, where capital and talent concentration is reaching self reinforcing momentum, and where competitive or geopolitical dynamics are shifting materially.

• Undergraduate or graduate training in engineering, physics, computer science, materials science, biology, or a closely related technical discipline.
• Broad technical literacy across multiple deep tech domains. Depth in any single field matters less than the ability to read and synthesise technical material across many.
• Familiarity with patent databases and professional intelligence platforms (Derwent Innovation, PatSnap, Espacenet, Google Patents for preliminary search).
• Awareness of India's deep tech policy environment: Semicon India, National Quantum Mission, National AI Mission, IN-SPACe, iDEX, ADITI, and PLI schemes with R&D components.
• Ability to design and maintain a structured, queryable database with consistent taxonomy: CRM literacy (Attio, Affinity, or equivalent) is advantageous.
• Comfort operating across ambiguous, early stage signals where information is incomplete or contradictory.
• Prior exposure to venture capital research, technology policy, or startup ecosystems is strongly preferred.

Purus Research invests in early stage Indian deep tech startups and, drawing on the same thematic intelligence, in listed equity markets in India and globally. Our focus is on frontier technologies that shape strategic industries: space and launch systems, semiconductors and advanced computing, defence and dual use systems, biotechnology and life sciences, advanced materials and critical minerals, and clean energy and climate technologies, with quantum technologies, next generation communications, and advanced manufacturing as cross cutting domains.

The most valuable opportunities in deep tech are enabled by researchers in university and government laboratories, veterans of corporate research divisions building independently, engineers in stealth mode startups, and serial founders identifying strategic industry shifts before they become publicly visible. Finding these opportunities requires a structured intelligence function, and that is what this fellowship is cogitated to deliver.

Deep tech refers to technologies rooted in substantial scientific discovery or meaningful engineering innovation, often combining advances across multiple disciplines, aiming to solve fundamental, hard problems of significant scope. Unlike shallow tech (software, apps, business model innovation), deep tech is grounded in breakthrough science or hard engineering, addressing problems that incremental approaches cannot reach.

The consequence of building on breakthrough science or hard engineering is structural. These technologies demand long R&D cycles, often a decade or more, and heavy upfront capital before commercial viability. Their primary risk is technical, not commercial. When they succeed, they produce structurally tenable companies, protected by engineering complexity, proprietary process, and intellectual property, that reconfigure entire industries.

Deep tech investing is fundamentally an intelligence problem. The technology is complex, the signals are early, and the commercial implications require domain specific judgement. This fellowship is designed to aid Purus solve that problem systematically.

The fellowship is organised around five interconnected roles that together form an integrated intelligence system, spanning the identification of early stage technology signals, technical and industrial assessment, and the synthesis of those signals into investment decisions across private and public markets.

Each fellow's work feeds directly into the others. A technology surfaced by the Scouting Fellow is assessed by the Technical Fellow, evaluated for manufacturability, in India, by the Supply Chain Fellow, classified for strategic relevance by the Dual Use Fellow, and interpreted for listed equity implications by the Markets Convergence Fellow. The outputs are structured, decision grade, and used directly in Purus's investment process.

Informed undergraduate and graduate students with strong technical, analytical, or policy foundations, and the curiosity to apply them to aid real investment decisions. The work is research heavy and operates across professional intelligence platforms, technical documentation, and primary literature, requiring the technical literacy to navigate these tools and the analytical discipline to extract decision grade insight from them. You do not need prior finance experience. You do need intellectual rigour, comfort with ambiguity, willingness to learn, technical fluency across multiple research environments, and the discipline to produce structured, accurate work under deadlines.