Key facts
- Type of research degree
- PhD
- Application deadline
- Friday 27 February 2026
- Project start date
- Thursday 1 October 2026
- Country eligibility
- UK only
- Funding
- Funded
- Source of funding
- Doctoral training partnership
- Supervisors
- Professor Thomas Chamberlain
- Additional supervisors
- Professor Richard Bourne and Dr Adam Clayton
- Schools
- School of Chemical and Process Engineering, School of Chemistry
- Research groups/institutes
- Digital manufacturing and emerging technologies, Process Research and Development
Automation in chemical processes enhances efficiency and precision, allowing scientists to focus on complex decisions. Optimization algorithms adjust conditions in real-time to improve reactions. Combining automated reaction platforms with these algorithms, a powerful system known as Self-Optimization Flow Reactors (SOFRs) which streamlines the process of performing reactions and analysing the results, leading to better control, consistent outcomes, and faster experiments. This integration of machine learning algorithms has previously accelerated product development in various homogenous processes for the formation of a number of pharmaceutical products, e.g., Dapagliflozin global sales = $1.1million per annum.<br /> <br /> However, the existing approach is focused on homogeneous reactions. To expand the applications of this platform, this project will develop similar technology for heterogeneous reactions (c.f. 75-80% of reactions for pharmaceutical synthesis are heterogeneous).<br /> <br /> This industrially supported project aims to develop an advanced platform utilizing AI and self-optimizing reaction technology to improve the efficiency and effectiveness of heterogeneous reactions, thereby accelerating product development.<br /> <br /> This project builds on the strong relationship between the University of Leeds and Dr Reddy’s, harnessing the complementary expertise of both research centres. The student working on this project will be based primarily at Leeds but will engage with Dr Reddy’s throughout the project to ensure that the research is aligned with addressing real world challenges The ideal candidate has a strong interest in automation, machine learning approaches and organic synthesis. Effective written and verbal communication skills, good time-management and the ability to work in a collaborative environment are essential.<br />
<p>Formal applications for research degree study should be made online through the <a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">University's website</a>. Please state clearly in the Planned Course of Study Section that you are applying for <em><strong>EPSRC DTP Engineering & Physical Sciences</strong></em> (if you do not apply under this programme code, your application will not be considered), in the research information section that the research degree you wish to be considered for is <em><strong>Digitally Enabled Self-Optimisation of Heterogenous Chemical Processes</strong></em> as well as <a href="https://eps.leeds.ac.uk/chemistry/staff/4213/prof-tom-chamberlain">Professor Thomas Chamberlain</a> as your proposed supervisor and that the funding you wish to be considered for is <em><strong>EPSRC Faculty Doctoral Landscape Award 2026/27: Chemistry</strong></em>.</p> <p>Applications will be considered after the closing date of Friday 27 February 2026. Potential applicants are strongly encouraged to contact supervisors for an informal discussion before making a formal application. We also advise that you apply at the earliest opportunity as the application and selection process may close early, should we receive a sufficient number of applications or that a suitable candidate is appointed.</p> <p>Please note that you must provide the following documents in support of your application by the closing date of Friday 27 February 2026:</p> <ul> <li>Full Transcripts of all degree study or if in final year of study, full transcripts to date including grading scheme</li> <li>Personal Statement outlining your interest in the project</li> <li>CV</li> </ul> <p>If English is not your first language, you must provide evidence that you meet the University's minimum English language requirements (below).</p> <p><em>As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Across all Faculties we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+ and people with disabilities. Applicants will always be selected based on merit and ability.</em></p>
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.
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.
<p>A highly competitive EPSRC Faculty Doctoral Landscape Award, in collaboration with Dr Reddy’s Ltd, providing full academic fees, together with a tax-free maintenance grant at the standard UKRI rate (£20,780 in academic session 2025/26) for 3.5 years. Training and support will also be provided.</p> <p>This opportunity is open to UK applicants only. All candidates will be placed into the EPSRC Faculty Doctoral Landscape Award Competition and selection is based on academic merit.</p> <p>Please note that there is 1 funded place available. If you are successful in securing an academic offer for PhD study, this does not mean that you have been successful in securing an offer of funding.</p> <p>Please refer to the <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ukcisa.org.uk%2F&data=05%7C02%7CJ.S.Hewer%40leeds.ac.uk%7C07632c93c06a442dca3d08ddfc172939%7Cbdeaeda8c81d45ce863e5232a535b7cb%7C0%7C0%7C638943898649349324%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=nylGSov8jOc7hr6X%2FmfnfQPecbVUnGqgoSqVgPGy5K0%3D&reserved=0">UKCISA</a> website for information regarding Fee Status for Non-UK Nationals.</p>
<p>For further information about this project, please contact Professor Thomas Chamberlain by email to <a href="mailto:T.W.Chamberlain@leeds.ac.uk">T.W.Chamberlain@leeds.ac.uk</a>, Professor Richard Bourne by email to <a href="mailto:R.A.Bourne@leeds.ac.uk">R.A.Bourne@leeds.ac.uk</a> or Dr Adam Clayton by email to <a href="mailto:A.D.Clayton@leeds.ac.uk">A.D.Clayton@leeds.ac.uk</a></p> <p>For further information about your application, please contact PGR Admissions by email to <a href="mailto:phd@engineering.leeds.ac.uk">phd@engineering.leeds.ac.uk</a><br /> </p>
<h3 class="heading heading--sm">Linked funding opportunities</h3>