Publisher
source

Birmingham City University

IoT-Enabled LoRaWAN-Based Flood Monitoring and Early Warning System Birmingham City University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

36-month fully funded PhD studentship with a tax-free stipend of £20,780 per year (paid monthly) and a full tuition fee scholarship for up to 3 years. Funding is subject to satisfactory progress and registration. All applicants receive the same stipend regardless of fee status.

Deadline

Sep 17, 2026

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Country

United Kingdom

University

Birmingham City University

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Artificial Intelligence
Wireless Communication
Civil Engineering
Earth Science
Edge Computing
Internet Of Things
Climate Resilience
Environmental Communication
Flood Risk
Embedded System

About this position

?? PhD Scholarship Opportunity

Excited to share that we are offering a fully funded PhD studentship on:
“IoT-Enabled LoRaWAN-Based Flood Monitoring and Early Warning System for Enhanced Climate Resilience in the UK” ????

?? Funding: 36-month fully funded studentship (£20,780/year tax-free stipend, plus tuition fee scholarship).
?? Start: Academic Year 2025/26.
?? Location: Birmingham City University, UK.

This project will explore cutting-edge IoT and LoRaWAN solutions to improve flood monitoring, integrate AI-based prediction, and strengthen climate resilience.

??Application link and details: https://lnkd.in/dbgDdHU5

PhDOpportunity IoT LoRaWAN FloodMonitoring ClimateResilience Research BCU

Funding details

36-month fully funded PhD studentship with a tax-free stipend of £20,780 per year (paid monthly) and a full tuition fee scholarship for up to 3 years. Funding is subject to satisfactory progress and registration. All applicants receive the same stipend regardless of fee status.

What's required

Applicants should have, or expect to be awarded, a Master’s degree in a relevant subject area. Exceptional candidates with a first class or upper second class Bachelor’s degree may be considered. Relevant areas include IoT systems, wireless communication (especially LoRa/LoRaWAN), AI/ML, embedded systems, or environmental sensing. Professional experience is also considered. Essential: ability to work independently, critical thinking, interdisciplinary collaboration, and good communication skills. Desirable: practical experience with IoT prototyping (Arduino, Raspberry Pi), familiarity with Python or MATLAB, understanding of flood risk or climate resilience, and evidence of project/lab-based work. International applicants must provide a valid English language qualification (IELTS 6.5 overall, no band below 6.0 or equivalent).

How to apply

Complete the BCU Online Application Form. Fill in the Doctoral Studentship Proposal Form, quoting the project ID, and upload it in place of a personal statement. Upload two references (at least one academic) and qualification certificates/transcripts. International applicants must upload a valid English language qualification. Apply by the deadline via the provided application link.

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