PhD Studentship: Predictive Modelling and Control of Chemically Active Droplets for Micro-Engineering
Develop computational models to predict and control the motion of low-cost chemically active droplets for advanced micro-engineering applications.
Best for:Best for candidates with a strong background in fluid mechanics, computational modelling, and a passion for interdisciplinary research in micro-engineering and active matter systems.
Overview
This PhD studentship at the University of Birmingham focuses on advancing the predictive modelling and control of chemically active droplets, a cutting-edge area in micro-engineering. The project aims to create a framework for steering these droplets along precise trajectories using computational models, addressing challenges in their manoeuvrability and practical applications. These droplets, manufactured via inexpensive microfluidic techniques, hold potential for tasks like targeted drug delivery, chemical analysis, and environmental monitoring. The successful candidate will work closely with Dr. Nikhil Desai, contributing to both theoretical and applied research in fluid mechanics and active matter systems.
What you'll do
- Develop computational models to predict the response of chemically active droplets to various physico-chemical stimuli encountered in laboratory experiments.
- Identify and implement strategies to enhance the manoeuvrability of droplets for specific applications, such as reagent transport or targeted drug delivery.
- Design and validate predictive frameworks for steering droplets along specified trajectories using spatio-temporal landscapes of chemical, flow, or electric fields.
- Conduct theoretical and numerical analyses of droplet dynamics and control mechanisms.
- Collaborate with the supervisor to disseminate research findings through conference presentations and publications.
- Engage in interdisciplinary research, bridging fluid mechanics, computational modelling, and micro-engineering.
Requirements
Degree required: Master’s degree (or equivalent) in Mathematics, Physics, Engineering, or a related quantitative discipline
Degree offered: PhD
Language: English; proficiency sufficient for academic research and communication
Instruction: English
- Strong understanding of fluid mechanics principles
- Proficiency in analytical and numerical methods for solving partial differential equations
- Experience with computational fluid dynamics (preferred but not mandatory)
- Excellent written and verbal communication skills
- Ability to engage rigorously with complex theoretical concepts
- No specific nationality or residency restrictions mentioned
- Open to candidates with a strong academic background in relevant fields
Funding & terms
How to apply
Deadline: 2026-12-25
Interested candidates should first make an informal inquiry via email to Dr. Nikhil Desai. Upon expression of interest, a formal application will be required, including a CV, cover letter, and academic transcripts.
- Curriculum Vitae (CV)
- Cover letter
- Academic transcripts (Bachelor’s and Master’s degrees)
- Two reference letters (optional, but recommended)
Contact
Nikhil Desai· Supervisor
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