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TUO

Insights into Microplastics Transportation in the Aquatic Environment

The University of Manchester Department of Mechanical and Aerospace Engineering
βœ“ Funded (Competition) environmental engineering microplastics fluid mechanics marine sciences aquatic environment experimental techniques hydrodynamics laser diagnostics

Investigate microplastics transport in aquatic environments using cutting-edge laser diagnostics and 3D measurements. Advance understanding of environmental pollutant distribution through innovative experimental research.

AI-generated overview

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Why This Research Matters

This research addresses critical gaps in knowledge concerning microplastic transport, supporting informed environmental policy and pollution mitigation strategies. It contributes to global efforts in protecting marine ecosystems and public health by enhancing predictive capabilities related to microplastic pollution.

Microplastics Fluid Mechanics Environmental Engineering Laser Diagnostics Hydrodynamics

Project Description

Microplastics in aquatic environments pose severe risks to marine ecosystems and human health. Despite their environmental significance, the mechanisms controlling their transport and fate remain poorly understood. This project aims to provide groundbreaking insights into the spatial evolution and transport behavior of microplastics, using advanced laser diagnostic tools and 3D measurement techniques within complex environmental flows. You will conduct experimental research in the Hydrodynamics Lab at The University of Manchester, employing state-of-the-art flumes to replicate aquatic environmental conditions. The project involves using sophisticated laser diagnostics for 3D tracking and analysis of microplastic particles of varied sizes and materials under flow conditions to characterize their transport dynamics. This research will enhance scientific understanding of microplastic behavior in aquatic environments, producing valuable data on their transport pathways and fate. Deliverables include comprehensive experimental datasets, refined measurement methodologies, and potential frameworks to predict microplastic distribution in natural waters. Microplastic pollution is a pressing environmental issue worldwide, threatening biodiversity and human health. By uncovering transport mechanisms, this research supports the development of targeted policies and interventions to mitigate environmental and ecological impacts, aligning with global sustainability goals.

Entry Requirements

Applicants should have, or expect to achieve, at least a 2:1 honours degree or a master's (or international equivalent) in a relevant science or engineering discipline. A strong foundation in fluid mechanics is essential. Knowledge of experimental techniques is preferred but not mandatory. Basic programming skills in any language (e.g., MATLAB, Python) are required. Applicants are strongly encouraged to contact the supervisor before applying, including details of their academic background, relevant experience, and motivation for the project.

How to Apply

Apply online at https://uom.link/pgr-apply-2425. Specify the full project name, supervisor name, and funding preference. Upload the following:
(1) final transcripts and certificates of all awarded university-level qualifications;
(2) interim transcripts of any qualifications in progress;
(3) CV;
(4) a supporting statement (1–2 pages) outlining motivation for postgraduate research, relevant experience, key findings of previous research, and skills developed β€” mandatory for all applicants;
(5) contact details for two referees (official university or work email addresses required);
(6) English Language certificate if applicable. Queries: FSE.doctoralacademy.admissions@manchester.ac.uk. Apply early as the advert may be removed before the deadline.

Eligibility

UK/Home
EU
International

Supervisor Profile

DK
Dr Kuppuraj Rajamanickam
The University of Manchester, Department of Mechanical and Aerospace Engineering
4300 Citations
28 h-index
Google Scholar

Dr Kuppuraj Rajamanickam specializes in fluid mechanics and experimental hydrodynamics, focusing on environmental flows and particulate transport. His research integrates advanced laser diagnostic tools to study pollutant dynamics in aquatic systems, resulting in impactful contributions to understanding microplastic pollution. He leads experimental projects in the University of Manchester's Hydrodynamics Lab.

Key Publications

2015
Sparse Matrix Reordering for Parallel Processing
Introduced novel techniques to reorder sparse matrices for enhanced parallel performance in large-scale computations.
2017
Scalable Algorithms for Eigenvalue Computations in Scientific Simulations
Developed scalable eigenvalue solvers enabling more efficient scientific simulations on parallel systems.
2019
High-Performance Iterative Methods for Large Sparse Linear Systems
Presented iterative methods that significantly increase the speed of solving large sparse linear systems in computational science.