Supramolecular Chemistry PhD: Studying molecular binding with automated experiments and data analysis

Supramolecular Chemistry PhD: Studying molecular binding with automated experiments and data analysis

Quick Decision

Promising with material uncertainties. This project pairs a meaningful chemistry question—why particular molecules recognise and bind each other—with molecular synthesis, quantitative measurement, laboratory automation and interpretable data analysis. It should suit a Chemistry-trained applicant who wants to work across experiments and computation, whether entering from a wet-lab or cheminformatics direction. Dr Filip Szczypinski’s profile and recent papers are an unusually close methodological match, and Durham’s active ERC DISC programme provides a credible research context.

Two points need a direct answer before a full application. First, the supplied project information says applications are accepted year-round and the opportunity is open worldwide, but the Durham Chemistry page’s search-indexed result contains the title while the opened live project list omits it. Treat recruitment as provisional and email the listed project contact. Second, no official project-specific page publishes the stipend, fee coverage, international fee top-up, funding duration, start date or closing date. The ERC grant confirms programme funding, not the student’s award. Ask Dr Szczypinski for the current recruitment cycle and written funding terms, and check the department’s Master’s/equivalent 2:1 entry requirement against your qualifications.

Research Problem and Doctoral Work

What is unsolved and why it matters

Molecules recognise one another through weak, cooperative interactions. Such binding underpins sensing, separations, catalysis and biological processes, yet chemists often cannot predict reliably which molecular structures will bind in useful ways. The project aims to move from screening by trial and error toward chemical rules that can guide deliberate design. The larger Digital Supramolecular Chemistry (DISC) programme frames this as a combination of autonomous physical measurements and mechanistically interpretable machine learning, with possible applications in sensors, catalysis and separations.

Work, methods and potential outputs

The supplied project description outlines an experimental loop: design and make libraries of molecules, measure how they interact, then use the results to choose what to test next. Named experimental methods include organic synthesis, equilibrium and kinetic measurements, NMR, UV–visible spectroscopy, chromatography and automated liquid handling. Computational work may involve molecular descriptors, chemical-space analysis, statistical modelling and interpretable machine learning. The advert describes two equally welcome routes: an experimental chemist can build data and automation skills, or a computational/cheminformatics candidate can learn to test models in the laboratory. These are advertised tasks and possible method emphases; the final research questions are to be shaped with the supervisor.

Good early discussions would narrow the host–guest systems and define what counts as a useful recognition measurement. For example, a student might compare how structural features, solvent, concentration, stoichiometry or temperature affect selectivity; determine which measurements discriminate competing binding mechanisms; and test whether a model can suggest experiments that add information rather than merely reproduce known outcomes. These are research directions to consider, not promised work or outcomes.

The measurement loop is scientifically attractive but demanding. Dynamic supramolecular systems can form mixtures, and experimental data may vary with conditions or be difficult to interpret. A model could appear successful within one chemical family and still fail outside it. The programme’s emphasis on mechanistic interpretation is therefore useful: a strong result would explain what the measurements support, where the model is uncertain, and which follow-up experiment could challenge its explanation. Broader chemical-AI discussions likewise emphasize data provenance, reproducibility, uncertainty estimates and active experiment selection (Digital Discovery perspective).

School, Programme and Field Context

Durham University is both the named host and the intended degree-awarding institution through its Department of Chemistry. The official Chemistry route uses PhD programme code F1A001; the available materials do not identify a joint degree or another awarding institution. Durham says most full-time PhDs take 36–48 months, but this project’s registration duration and start date are not stated. Before applying, the department requires supervisory support, a Master’s degree or equivalent at UK Class 2:1 level for a Chemistry PhD, two satisfactory references (at least one academic), and English proficiency at Direct Entry Band B. Durham’s general doctoral application guidance lists transcripts, certificates, a CV, statement, references and English evidence as documents applicants may need; ask whether this project requires a separate research proposal.

There are positive institutional signals, each with a different scope. The Complete University Guide’s Chemistry subject table for 2027 places Durham 6th in the UK. The QS World University Rankings 2027 place Durham 85th globally overall. Durham Chemistry reports that 96% of its research outputs were world-leading or internationally excellent in REF 2021. These rankings and assessment results provide broad context, not a direct measure of this supervisor, lab or doctoral training.

The department groups work across research sections and offers a broad chemistry environment. Its research pages and Chemistry for Health roster list Dr Szczypinski’s interests alongside related expertise. The department’s services page lists NMR and crystallographic/spectroscopic services, and its Solid State NMR service describes specialist local capability. These pages show relevant departmental infrastructure, but do not establish that the PhD will use a particular instrument, that the group’s automated platform is already operational, or that student access and technical support are guaranteed.

Supervisor and Lab Assessment

Supervisor research directions

Dr Filip Szczypinski is a Royal Society University Research Fellow and Assistant Professor of Chemistry Automation. His official Durham profile says he joined in 2025 and works across laboratory automation, high-throughput experimentation, data-driven methods, supramolecular and physical-organic chemistry, molecular recognition, cheminformatics and machine learning. This is a close match to the project’s central combination. His group page describes computational modelling, automated synthesis and high-throughput workflows, while Durham’s 2026 grant announcement confirms that he leads the new ERC-backed programme. Because the Durham group is relatively new, ask about its current team, named co-supervisors, supervision cadence, automation readiness and day-to-day technical support.

Recent important publications

Three recent papers help assess the fit. In Nature (2024), Szczypinski and colleagues connected mobile robots with a synthesis platform, UPLC–MS and benchtop NMR. A chemistry-specific decision system used orthogonal measurements to select reactions for follow-up and was extended to host–guest binding tests. This is strong evidence of relevant prior experience, but it was conducted in the Liverpool group; it does not prove Durham has the same equipment. The authors also report that an unexpected same-mass cyclization was not distinguished by the automated checks, illustrating the need for orthogonal measurements and human chemical judgement.

A 2024 Chemical Communications paper, coauthored with Durham colleague Keith Andrews, combined low-cost conformer calculations with high-throughput crystallization to find multiple conformers of an amide-linked organic cage. It shows how computation can guide experimental exploration, while noting that some polymorphs may be missed and single-crystal analysis can limit throughput. A 2024 Chemical Science paper studied dynamic equilibria and solvent-dependent crystallization of brominated imine macrocycles. It supports expertise in condition-sensitive supramolecular systems, but is adjacent work from the supervisor’s prior Liverpool collaboration rather than evidence of the exact Durham project setup.

Lab, resources and collaboration environment

The DISC grant record lists the University of Durham as the sole beneficiary and describes a programme built around autonomous measurements and interpretable modelling. Durham’s grant news says the ERC Starting Grant is worth £1.7m (€2.1m). The official Chemistry department page describes research facilities and services for staff and students. Taken together, these provide a credible basis for the work. They do not settle what portion of grant resources supports this student, which instrument platforms are already commissioned, or how project access will be allocated.

Funding, Application and Living Cost

The supplied project information labels the opening funded, open to students worldwide, and accepting applications all year. Durham’s official Chemistry page directs PhD applicants to its portal after obtaining supervisory support, but its visible project list did not show this exact title when opened on 5 November 2026, despite the title appearing in the page’s search-indexed content. The live recruitment status and any project-specific closing date should therefore be confirmed directly. The advert names Dr Szczypinski for informal enquiries. No official source found here states the specific stipend, award length, funded start date or research allowance.

The ERC grant is €2,109,332 over 1 September 2026–31 August 2031. It verifies a substantial active group programme, but should not be treated as the student’s stipend or a promise of full fees. Durham’s 2026/27 PGR fee table lists £5,238 for home/islands and £32,000 for overseas students in Band 2 Laboratory. Chemistry is likely to use a laboratory band, but check the course’s exact fee classification in the offer. Future annual rates are not established on that table. Durham’s PGR fees and funding guidance says fees depend on course and status, are quoted in the offer and may rise in later years.

The public cost picture is incomplete. Durham’s living-cost page gives general categories and says accommodation/catering are major expenses, but includes a 2019 survey reference and no current all-in PGR monthly total. As one current example, St Chad’s 2026/27 residence charges show 50-week postgraduate room-only charges of £8,564 for a standard room or £10,122 ensuite, with a £3,213 term-time catering charge where applicable. This is one college’s tariff, not a universal offer or whole living budget. Until the stipend and fee coverage are confirmed, purchasing power cannot be assessed. Ask in writing whether overseas applicants receive full international tuition coverage, who pays any difference above the home rate, and what is included beyond tuition and stipend.

Applicant Fit and Preparation

Required background and skills

The supplied advert asks for a strong degree in Chemistry or a closely related subject, a foundation in relevant chemistry, curiosity about why molecules behave as they do, and willingness to learn across experiments and data. The department’s formal PhD minimum is more explicit: a Master’s or equivalent at Class 2:1 level, two references including one academic, and English Band B. Check how Durham will classify your degree rather than assuming the broad wording in the advert overrides the department’s admission rules.

Preferred experience and suggested preparation

Experience in organic, physical-organic, supramolecular, computational or data-driven chemistry is relevant. Python, machine learning, robotics and automated chemistry are useful, but the advert says these are not essential and training will be provided. An application can show a strong starting point in one half of the project and a concrete plan to learn the other. Useful evidence might be an example of measuring or explaining molecular behaviour, a reproducible data-analysis project, or a short discussion of how you would test two competing mechanistic explanations. These are suggestions, not stated application requirements.

Next Actions and Questions to Verify

Before applying

1. Email Dr Szczypinski with a concise CV and degree summary. Ask whether this exact project is still recruiting and for which start date.
2. Request the formal deadline or confirmation that applications remain rolling until filled, with cutoff time and time zone.
3. Ask for the written package: stipend, duration, home/overseas tuition coverage, any fee difference, research allowance, and whether visa or immigration-health costs are covered.
4. Confirm the Chemistry PhD 2:1-equivalent requirement, English Band B evidence, portal documents and proposal expectations.

At interview

Ask which host–guest systems and measurements will anchor the first year, how experimental data will be recorded and quality-checked, whether model suggestions will drive closed-loop experiments, and what is the intended balance between synthesis, measurement, automation and data analysis. Confirm who co-supervises and which robot/instruments are operational and accessible in Durham.

Before accepting an offer

Obtain the full award and fee terms in writing, including duration, annual fee changes, overseas fee top-up, stipend progression and project-cost support. Confirm supervisor assignment, group size, training plan, platform access and the likely first-year research scope. Build a Durham budget using actual accommodation options and non-housing costs rather than relying on a single college tariff.

Evidence and Sources

Project, institution and training

• Durham Chemistry postgraduate opportunities and application route
• Postgraduate study at Durham Chemistry — research degrees
• Durham doctoral application guidance
• Durham Chemistry department
• Complete University Guide Chemistry 2027
• QS Durham University profile
• Durham Faculty of Science REF 2021 results
• Durham Chemistry research sections
• Chemistry for Health section

Supervisor, laboratory and publications

• Dr Filip Szczypinski’s Durham profile
• Szczypinski Research Group
• Durham Chemistry services
• Durham Solid State NMR service
• Autonomous mobile robots for exploratory synthetic chemistry
• Computation and automation in organic-cage conformers
• Dynamic bromoisotrianglimine behaviour
• Durham’s 2026 robotic chemistry and AI grant announcement
• DISC European Commission grant record

Field, funding, costs and career context

• Review of large language models and autonomous agents in chemistry
• Advances in applied supramolecular technologies 2021–2025
• AI, data and automation perspective in Digital Discovery
• Durham PGR tuition fees 2026/27
• Durham PGR fees and funding guidance
• Durham living-cost guidance
• St Chad’s College postgraduate residence charges 2026/27
• Royal Society of Chemistry future workforce and education pathways
• Royal Society of Chemistry economic contribution of chemistry