The key aim in this project is to design hardware that enables the deployment of Internet of Things (IoT) sensors within forest ecosystems, which is integral to environmental research and effective environmental management. It is envisaged that a combination of traditional forecasts and IoT will form an accurate and low-cost solution for continuous and long-term monitoring of forest ecosystems, offering the potential to improve understanding of the environment. IoT is largely based on the deployment of robust self-powered sensing (SPS) nodes, forming a network for data collection and transmission to establish a detailed picture of the microclimate within the ecosystem, to comply with the ambitious legal obligations of statutory authorities for innovation on smart environmental monitoring. SPS has two key advantages; (i) it does not require batteries, since it harvests energy from ambient environment and (ii) data are transmitted wirelessly. Thus, it can enable accurate climate monitoring in difficult geographical terrains with significant reduction of the human intervention. Self-powered sensing can detect crucial parameters for ecosystem monitoring, such as temperature, rainfall, wind speed, humidity, soil moisture, CO2 levels. The proposed investigation will develop an SPS node (for microclimate observations within a forest ecosystem) compromising a bespoke energy harvester (electromagnetic or piezoelectric) integrated with sensors. The node will be autonomous, self-sustained with marginal human involvement. A hardware demonstrator (SPS node) ) assessed in real environmental operating conditions will be the main deliverable. How to Apply: 1. Complete a CENTA studentship application form in Word format (available from http://www.centa.ac.uk/apply/ or https://centa.ac.uk/apply/how-to-apply/ ). During the online application process, upload the CENTA studentship application form as a supporting document. Please quote 2025-LU1 when completing your online application. 2. Applications should be made online. Under programme name, select ‘Mechanical and Manufacturing Engineering/Electronic, Electrical & Systems Engineering’ and quote the advert reference number FP-AH-2024 in your application. To avoid delays in processing your application, please ensure that you submit your CV and the minimum supporting documents. 3. Application closing date is midnight (UK time) on Wednesday January 8th 2025. Interviews for short-listed candidates are expected to be held in the period Monday 3rd February – Friday 14 th February 14th 2025. The following selection criteria will be used by academic schools to help them make a decision on your application. Please note that real environmental operating conditions will be the main deliverable. Entry requirements: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Mechanical Engineering, Elecrical Engineering, Physics, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website ( http://www.lboro.ac.uk/international/applicants/english/ ). Funding Details Additional Funding Information The NERC studentship is funded for 3.5 years starting from October 2025 and provides a tax-free stipend of £19,237 per annum (in 2024/25) for the duration of the studentship plus tuition fees at the UK rate and a Research Training Support Grant (RTSG) of £8,000. Further guidance about eligibility is available at UKRI Terms and Conditions. Due to UKRI funding rules, no more than 30% of the studentships funded by this grant can be awarded to International candidates, but successful International candidates will have the difference between the UK and International tuition fees provided by the University. Fully Funded (UK and International)