• Build Tier 1 through Tier 3 supplier ecosystems for each priority sector using DGFT trade data, PLI beneficiary disclosures, India Semiconductor Mission and IndiaAI Mission disbursement records, GeM registrations, MCA filings, and customs HS-code analysis inter alia.
• Quantify import dependency by sub-component category, distinguishing structural dependencies (absent domestic capability) from transitional dependencies (capability under active development), and identifying single-country chokepoints (Chinese API intermediates, Taiwanese leading-edge wafers, US EDA tooling, German precision optics etc.) that constitute strategic vulnerability.
• Track regional manufacturing clusters and assess genuine industrial concentration versus administrative designation, including Bengaluru and Hyderabad for semiconductors and aerospace, Sanand and Dholera for semiconductor fabrication and packaging, Pune and Chennai for precision engineering and electric mobility, Ahmedabad and Hyderabad for pharmaceuticals and biotechnology, Sriperumbudur and Noida for electronics manufacturing, Pithampur and Coimbatore for specialty chemicals and materials, and the Uttar Pradesh and Tamil Nadu Defence Industrial Corridors among others.

• Track PLI scheme performance across electronics, semiconductors, advanced chemistry cells, and defence, assessing what each scheme is actually producing in industrial capacity, not what it states as policy intent.
• Monitor DAP 2020 amendments, Make I/II/III categorisation, and Strategic Partner Model outcomes for their impact on technology validation timelines.
• Track export control developments across the regimes shaping India's deep tech supply chains and technology access: US BIS Entity List and EAR controls, ITAR, and OFAC sanctions; China's Export Control Law, Unreliable Entity List, MOFCOM and MIIT licensing requirements (gallium, germanium, graphite, rare earths, drone technologies, solar wafer manufacturing), and the Catalogue of Technologies Prohibited and Restricted from Export; EU Dual Use Regulation 2021/821; Japan's FEFTA and the trilateral US, Japan, Netherlands semiconductor equipment restrictions; SCOMET classifications in India; and the multilateral regimes (Wassenaar, MTCR, NSG, and Australia Group) etc.

• Quarterly strategic supply chain maps for each of the firm’s seven priority sectors, mapping Tier 1 through Tier 3 supplier ecosystems, regional manufacturing clusters, and single-country chokepoints.
• Manufacturing and industrial feasibility briefs produced in coordination with the Technology Fellow’s specifications, covering process and feedstock availability, equipment and capital intensity, regulatory and certification infrastructure, and projected cost and timeline to scale.
• Monthly policy and incentive monitoring briefs tracking PLI disbursements, India Semiconductor Mission and IndiaAI Mission progress, Critical Minerals Mission developments, indigenisation mandates, and emerging sectoral schemes relevant to the firm’s public equity themes.
• Geopolitical risk and import dependency assessments identifying structural vulnerabilities, single-country chokepoints, and shifts in the China-plus-one and friend-shoring rebalancing relevant to the firm’s portfolio sectors.

• Undergraduate or graduate training in economics, public policy, industrial engineering, supply chain management, international relations, or a related discipline with substantive exposure to industrial systems.
• Ability to read and interpret official policy instruments (DAP amendments, PLI scheme guidelines, India Semiconductor Mission and IndiaAI Mission disbursement notifications, Critical Minerals Mission allocations, gazette notifications) at a level sufficient to assess operational implications.
• Familiarity with global supply chain and trade dynamics, including HS-code level trade analysis, customs data interpretation, and export control frameworks (e.g. US EAR/ITAR, the US Entity List, China Export Control Law, EU Dual-Use Regulation, and India's SCOMET).
• Strong quantitative research skills, with the ability to construct structured datasets from heterogeneous public sources (DGFT, CMIE, MCA, GeM, ministry tender portals, and PLI beneficiary disclosures).
• Strong grasp of geopolitical developments affecting critical and emerging technology supply chains, including US-China technology decoupling, the China-plus-one and friend-shoring rebalancing, Quad and iCET technology initiatives, critical mineral supply restructuring, and the strategic implications of single-country chokepoints across semiconductors, pharmaceuticals, and rare earths.
• Working understanding of India's industrial and indigenisation agenda across the firm's seven priority sectors, with particular literacy in semiconductor, energy transition, defence, and critical minerals policy.
• Precision, rigour, and professional discretion in handling sensitive trade and policy intelligence.

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.