Post Doc Position Quantum image representation, Quantum algorithms, Quantum signal processing and quantum Fourier transform

Job Title Post Doc Position Quantum image representation, Quantum algorithms, Quantum signal processing and quantum Fourier transform Location Coimbatore, Tamilnadu Required Number 1 Qualification

Ph.D. in ECE/ EEE / Computer Science Engineering / Quantum Computing / Signal Processing / Machine Learning / Artificial Intelligence / Information and Communication Engineering or other relevant disciplines from premier institutes in the country

Desirable Qualification

The candidate is expected to have experience in quantum computing / quantum information processing / digital image and signal processing / machine and deep learning / soft computing algorithms, with a good publication record. Required Skill Set: Qiskit / PennyLane / Cirq, MATLAB / Simulink, Python (NumPy, OpenCV, TensorFlow/PyTorch), quantum simulators and access to quantum hardware platforms (IBM Quantum, etc.), and familiarity with FPGA/embedded implementation of signal processing algorithms.

Job Description The Department of Electrical and Electronics Engineering of Amrita Vishwa Vidyapeetham, Coimbatore Campus invites applications from enthusiastic and outstanding researchers for a Post Doc Position in the area of Quantum image representation, Quantum algorithms, Quantum signal processing and quantum Fourier transform. The candidate should be passionate about pursuing cutting-edge research leading to high-impact publications. The Candidate should assist in research and submission of project proposal, publish high-impact papers, and optionally support teaching or lab activities. Duration One Year Research Focus Areas

Quantum image representation and encoding techniques (FRQI, NEQR, QPIE)
Quantum algorithms for image enhancement, filtering, and edge detection
Quantum signal processing and quantum Fourier transform–based spectral analysis
Quantum machine learning for image classification, segmentation, and pattern recognition
Hybrid quantum–classical algorithms for denoising and compression of images/signals
Quantum-inspired optimization for signal reconstruction and feature extraction

Job Category Non-Teaching Last Date to Apply August 31,2026
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