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Data-Driven Optimisation of Cement-Based Mixes with Chemical Admixtures and Supplementary Cementitious Materials


Key facts

Type of research degree
Application deadline
Ongoing deadline
Project start date
Friday 1 October 2021
Country eligibility
UK only
Source of funding
Doctoral training partnership
Professor Leon Black and Dr Emilio Garcia-Taengua
School of Civil Engineering
<h2 class="heading hide-accessible">Summary</h2>

This is an exciting opportunity to work as part of a collaboration between the University of Leeds and Sika, one of the world&#039;s leading producers of construction chemicals. It will draw on years of research experience in the fields of statistics, data analysis, cement science and concrete technology, with exclusive access to a huge database of industrial performance data.<br /> <br /> The project will use this database to generate a holistic understanding of the interactions between cementitious materials and chemical admixtures at different dosages and provide quantitative tools for the prediction of their combined effects on the fresh and hardened properties of concrete and related cement-based materials (grouts, mortars). By teasing out some of the relationships between many thousands of data points, this project could help to transform the construction industry, moving beyond trial mixes to develop truly predictive capabilities in terms of cement and concrete performance. This is a completely novel approach which will address a significant research gap.<br /> <br /> We are looking for a candidate with a strong interest in statistical learning and multivariate statistics, preferably with an engineering background. A knowledge of cement science and or sample characterisation would be desirable but not essential.

<h2 class="heading hide-accessible">Full description</h2>

<p>Applications will be considered on an ongoing basis.&nbsp; Due to funding restrictions, the position must be awarded by 31 July 2021 (for a project start date of 1 October 2021).&nbsp; Potential applicants are strongly encouraged to contact the supervisors for an informal discussion before making a formal application.</p>

<h2 class="heading">How to apply</h2>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is <em>Data-Driven Optimisation of Cement-Based Mixes with Chemical Admixtures and Supplementary Cementitious Materials</em> as well as&nbsp;<a href="">Dr Emilio Garcia-Taengua</a>&nbsp;as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>We welcome applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>

<h2 class="heading heading--sm">Entry requirements</h2>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<h2 class="heading">Funding on offer</h2>

<p>A highly competitive Faculty of EPS EPSRC Doctoral Training Partnership Studentship in partnership with Sika Ltd, consisting of the award of fees with a maintenance grant of &pound;15,609 in&nbsp;session 2021/22&nbsp;for 3.5 years.<br /> <br /> This opportunity is open to UK applicants only. All candidates will be placed into the EPSRC Doctoral Training Partnership Studentship and selection is based on academic merit.<br /> <br /> The&nbsp;<a href="">UKCISA</a>&nbsp;website will be updated in due course with information regarding Fee Status for Non-UK Nationals starting from September/October 2021.</p>

<h2 class="heading">Contact details</h2>

<p>For further information regarding your application, please contact Doctoral College Admissions<br /> e:&nbsp;<a href=""></a>, t: +44 (0)113 343 5057.</p> <p>For further information regarding this project and informal enquiries, please contact Dr Emilio Garcia-Taengua<br /> e:&nbsp;<a href=""></a></p>

<h3 class="heading heading--sm">Linked funding opportunities</h3>
<h3 class="heading heading--sm">Linked research areas</h3>