The Fellow serves as Purus's forward intelligence function, identifying raw innovation signals from across the global deep tech ecosystem and producing the qualified, structured intelligence that informs the firm's investment decisions.

The role entails systematic signal detection across the full arc of deep-technological emergence. At the origination stage, this means tracking breakthrough research publications and benchmark results, technical conference and demo circuits, and corporate R&D; output. At the formation stage, it means tracking university spinouts, patent filings, government grants, stealth mode startups, and founder movements inter alia.

At the validation and scaling stages, it means tracking specialist venture capital activity, regulatory designations, manufacturing capacity commitments, lighthouse customer deployments, and export control actions. Each signal is identified before it becomes publicly visible in mainstream channels.

The primary output is a continuously maintained opportunity pipeline, classified by domain, technology readiness, team background, business viability, funding stage, and strategic relevance. This pipeline serves as the foundational input for every downstream analysis conducted by the fellowship cohort.

This is a paid fellowship. Fellows receive a monthly stipend of ₹60,000 to ₹75,000, set by qualification and experience, for an expected commitment of 12 to 15 hours a week over a term of six to twelve months.

Monitor innovation signals across primary sources

- 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 skilled 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.





Build and maintain the opportunity pipeline

Maintain a structured, routing ready pipeline on Attio or Affinity, with every inbound signal classified against a consistent taxonomy: technology domain, readiness level, team background and institutional origin, defensibility signal (patents, proprietary data, regulatory approvals, engineering complexity etc.), funding source, commercial stage, India strategic relevance, and dual use classification. Completion of each entry produces a routing decision to the Technical Fellow for diligence, the Supply Chain Fellow for manufacturability, and the Dual Use Fellow for strategic classification, or to monitored holding.

Produce intelligence briefs and landscape assessments

- 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.

Requirements

- 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.

📌 Deep Technology Intelligence and Innovation Analyst (India)
🏢 Purus Research
📍 India