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  Development of on-chip spectrometer


   School of Natural and Computing Sciences

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  Dr Kapil Debnath  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Please consider this before applying. 

Spectrometry is a widely used technique in various fields, including physics, chemistry, and biomedical sensing. Spectrometers have been employed in both industrial and fundamental research applications. In recent years, the need for compact and low-cost spectrometers has increased, with a focus on reducing device footprint, cost, and power consumption. As a result, the trend has shifted from huge instruments to smaller, more cost-effective, and user-friendly units. Handheld or portable spectral analysis devices are in demand, resulting in the miniaturization of spectrometers to centimeter-scale footprints. The further miniaturization of these devices to submillimeter scale may open up new opportunities, such as integration into lab-on-a-chip systems, smartphones, and spectrometer-per-pixel snapshot hyperspectral imaging devices.

In this project, you will design a compact and integratable spectrometer on an integrated photonics platform using ‘Reconstructive Spectroscopy’. Reconstructive spectroscopy, a novel approach to spectroscopy that utilizes computational techniques to reconstruct the spectral distribution of an input light from pre-calibrated information stored within a set of detectors. Your objectives will be to design a dispersive optical element using integrated photonic technology suitable for reconstructive spectroscopy and develop supervised or unsupervised reconstructive algorithms.

Essential Background:

Decisions will be based on academic merit. The successful applicant should have, or expect to obtain, a UK Honours Degree at 2.1 (or equivalent) in Physics or Electronic Engineering.

Desirable knowledge:.

A master’s level qualification or early-stage researcher experience in photonics or optoelectronics would be advantageous. Good programming skills in Matlab/Python is desirable.

Application Procedure:

Formal applications can be completed online: https://www.abdn.ac.uk/pgap/login.php.

You should apply for Physics (PhD) to ensure your application is passed to the correct team for processing.

Please clearly note the name of the lead supervisor and project title on the application form. If you do not include these details, it may not be considered for the studentship.

Your application must include: A personal statement, an up-to-date copy of your academic CV, and clear copies of your educational certificates and transcripts.

Please note: you DO NOT need to provide a research proposal with this application.

If you require any additional assistance in submitting your application or have any queries about the application process, please don't hesitate to contact us at [Email Address Removed]

Computer Science (8) Engineering (12) Physics (29)

Funding Notes

This is a self-funding project open to students worldwide. Our typical start dates for this programme are February or October.

Fees for this programme can be found here Finance and Funding | Study Here | The University of Aberdeen (abdn.ac.uk)

Additional research costs / bench fees may also apply and will be discussed prior to any offer being made.


References

1. Z. Yang, T. Albrow-Owen, W. Cai and T. Hasan, “Miniaturization of optical spectrometers”, Science 371, 6528 (2021).
2. B. Redding, S. F. Liew, R. Sarma, and H. Cao “Compact spectrometer based on a disordered photonic chip,” Nature Photonics 7, 746-51 (2013).
3. A. Li, and Y. Fainman, “On-chip spectrometers using stratified waveguide filters,” Nature Communications 12, 2704 (2021).
4. A. Mondal, and K. Debnath, “Design of Resolution-Tunable Neural Network-Based Integrated Reconstructive Spectrometer,” IEEE Sensors Journal 22, 2630-2636 (2021).

Where will I study?

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