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
Job Description
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
