Developing light-coupled NMR spectroscopy methods for studies of photosensitive systems in solution

The University of Manchester invites applications for an exciting PhD opportunity at the intersection of photochemistry, photocatalysis, and nuclear magnetic resonance (NMR) spectroscopy. This collaborative project, supervised by Dr. Alexander Golovanov and Professor Igor Larrosa, will explore the unprecedented potential of NMRtorch, a state-of-the-art illumination approach enabling real-time photochemical studies inside an NMR spectrometer.

Light-driven chemical transformations are central to modern organic synthesis, photocatalysis, energy conversion, and advanced materials design. However, studying these reactions in real time and observing transient reaction intermediates remains a fundamental challenge. This project will utilize and develop further the cutting-edge light-coupled NMR methodologies to provide detailed mechanistic insight into a wide range of photochemical processes, from photocatalysis and photoenzymatic reactions to photoswitching systems, to photostability testing, to photo-remediation and carbon capture.

Research Focus

This PhD project will involve development of new methodology for real-time NMR analysis of photochemical reactions using in situ illumination, enabling direct observation of photoreaction kinetics and intermediate species. A key focus will be on developing and testing the new light-coupled NMR hardware for mechanistic studies of photocatalytic transformations relevant to sustainable chemistry, and applying machine learning for the analysis of spectral data to probe mechanisms of photochemical reactions. The application of light-coupled NMR spectroscopy in synthetic organic photochemistry will allow for a novel approach to reaction optimization and mechanistic exploration.

Training and Development

The successful candidate will gain extensive training in high-resolution NMR spectroscopy, including multidimensional techniques and time-resolved methodologies, in illumination hardware development and automated data analysis. They will develop expertise in photochemistry and photocatalysis, with direct applications in organic synthesis. A strong emphasis will be placed on mechanistic studies using real-time NMR monitoring to track transient species and reaction pathways, and increasing throughput of experiments and their analysis using novel computational tools including machine learning, ensuring a comprehensive skillset for tackling complex chemical questions. Additionally, the candidate will have opportunities to engage in cross-disciplinary collaboration between inorganic, organic, and physical chemistry, broadening their scientific perspective. Training in scientific communication and professional skills will be provided through regular presentations, manuscript preparation, and interdisciplinary teamwork.

The project will be conducted in the Department of Chemistry, which is one of the largest and most vibrant departments in the UK and Europe, with state-of-the-art research facilities and a modern and extensive NMR facility. This project presents a unique opportunity to contribute to the advancement of next-generation photochemistry and NMR methodology while receiving world-class training in an interdisciplinary research environment at the University.

Eligibility

We are seeking highly motivated candidates with a strong academic background, holding a First or Upper Second-Class MSc/MRes or BSc degree in Chemistry, Chemical Physics, or a related field. Experience or a strong interest in NMR spectroscopy, photochemistry, and/or synthetic organic chemistry will be advantageous. The ideal candidate should possess excellent analytical and problem-solving skills, along with a keen interest in interdisciplinary research and innovation.

Funding

This 3.5 year PhD project is for self-funded students. At Manchester we offer a range of scholarships, studentships and awards at university, faculty and department level, to support both UK and overseas postgraduate researchers applying for competition and self-funded projects.

Before you apply

We strongly recommend that you contact the primary supervisor, Dr. Alexander Golovanov, for this project before you apply. Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.

How to apply

Apply online through our website. When applying, you’ll need to specify the full name of this project, the name of your supervisor, if you already have funding or if you wish to be considered for available funding through the university, details of your previous study, and names and contact details of two referees. Your application will not be processed without all of the required documents submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered.

After you have applied you will be asked to upload the following supporting documents:

• Final Transcript and certificates of all awarded university level qualifications
• Interim Transcript of any university level qualifications in progress
• CV
• Supporting statement: A one or two page statement outlining your motivation to pursue postgraduate research and why you want to undertake postgraduate research at Manchester, any relevant research or work experience, the key findings of your previous research experience, and techniques and skills you’ve developed. (This is mandatory for all applicants and the application will be put on hold without it).
• Contact details for two referees (please make sure that the contact email you provide is an official university/work email address as we may need to verify the reference)
• English Language certificate (if applicable)

If you have any questions about making an application, please contact our admissions team by emailing.

Equality, diversity and inclusion

is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact. We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status. We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).