Job Title Postdoctoral Fellowship in Quantum-Enhanced LLM Reasoning for Biomedical Literature Discovery Required Number 1 Qualification Qualification - Ph.D. in Computer Science and Engineering, Machine Learning, Quantum Machine Learning, Natural Language Processing

- This position is part of an R&D; team building hybrid quantum-classical frameworks that help LLMs reason more reliably over biomedical literature - extracting structured knowledge and generating testable hypotheses (e.g., drug-target interactions, drug repurposing candidates, mutation–disease associations) with transparent provenance rather than unconstrained generation.
- The role will involve R&D; focused on:
- Quantum-enhanced extraction of knowledge graphs from biomedical literature, applying quantum graph neural networks to identify entities, relationships, and patterns across large corpora of biomedical publications.
- Quantum semantic encoding of biomedical text — papers, abstracts, and clinical literature — to support downstream reasoning at a scale that addresses the rapid growth of unstructured biomedical data.




- Hybrid quantum-classical retrieval-augmented reasoning pipelines for literature-grounded hypothesis generation in the medical domain, with explicit evidence provenance linking each generated hypothesis (e.g., a candidate drug-target interaction) back to its supporting literature.
- Evaluation of truthfulness, hallucination, and calibrated confidence in quantum-augmented biomedical hypothesis generation using automated methods — cross-referencing generated drug-target hypotheses against curated interaction databases (DrugBank, ChEMBL, DGIdb) and retrospective temporal-split testing, combined with quantum-derived confidence/uncertainty scoring.
- Development of a quantum-enhanced biomedical claim-verification module for scientific literature: automatically classifying each generated claim or hypothesis against retrieved evidence as Supported, Refuted, or Not Enough Information, extending established scientific claim-verification frameworks (e.g., SciFact- and HealthVer-style benchmarks) with quantum semantic encoding for evidence-claim matching.

Job Category Research Last Date to Apply August 28, 2026

📌 Postdoctoral Fellowship in Quantum-Enhanced LLM Reasoning for Biomedical Literature Discovery @Chennai
🏢 Amrita Vishwa Vidyapeetham
📍 Chennai