Postdoctoral Fellowship in Quantum-Generative AI Framework for Multimodal Radiogenomics (Chennai)

Postdoctoral Fellowship in Quantum-Generative AI Framework for Multimodal Radiogenomics (Chennai)

02 Aug
|
Amrita University
|
Chennai

02 Aug

Amrita University

Chennai

Amrita Vishwa Vidyapeetham, Chennai Campus is inviting applications from qualified candidates for the post of Postdoctoral Fellowship in Quantum-Generative AI Framework for Multimodal Radiogenomics For Details Contact: [email protected]

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Job Title

Postdoctoral Fellowship in Quantum-Generative AI Framework for Multimodal Radiogenomics

Required Number

1

Qualification

Ph.D. in Computer Science and Engineering, Machine Learning, Quantum Machine Learning

Construction of a curated, quantum- and AI-ready multimodal radiogenomics data foundation (imaging, genomic, and clinical datasets).

Quantum state encoding of radiomic, genomic, and clinical features, combined with generative AI models (e.g., diffusion models, transformer-based architectures, quantum GANs) for synthetic data augmentation, missing-modality imputation, and cross-modal translation.

Quantum-native and generative AI-driven learning and inference, including measurement-driven prediction and uncertainty characterization for clinical decision support (e.g., mutation status, therapy response). Expected Outcomes:

Publications: Minimum of 2 peer-reviewed publications in high-impact quantum computing/biomedical informatics journals,



covering the quantum-ready multimodal dataset and preprocessing pipeline quantum encoding and entanglement-based interaction modeling the end-to-end quantum-native inference pipeline with uncertainty analysis.

Patents: At least 1 patent filings anticipated — one covering the novel quantum feature-encoding/entanglement scheme for multimodal biomedical data, and one covering the quantum measurement-based inference and confidence-estimation methodology for clinical prediction tasks.

Key Responsibilities:

Conduct and lead high-impact research in quantum-native/hybrid learning frameworks for radiogenomics, spanning quantum data encoding, cross-modal interaction modeling, and measurement-driven inference.

Develop and standardize protocols for curating, harmonizing, and quantum-encoding multimodal datasets (imaging, genomic, and clinical data).

Supervise and guide undergraduate and doctoral researchers working on quantum circuit design, data pipeline development, and clinical validation Tasks

Job Category

Research

Last Date to Apply

September 1, 2026

📌 Postdoctoral Fellowship in Quantum-Generative AI Framework for Multimodal Radiogenomics (Chennai)
🏢 Amrita University
📍 Chennai

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