skip to content

Postgraduate Admissions

3 courses offered in the Department of Chemistry

This cutting-edge Centre for Doctoral Training (CDT) in Automated Chemical Synthesis Enabled by Digital Molecular Technologies (SynTech) aims to develop a new generation of leaders in synthetic chemistry research with a focus on Machine Learning & Artificial Intelligence-driven techniques. 

Please note: The SynTech CDT programme is usually offered to full-time students due to the nature of the compulsory training during the first year, but applicants wishing to pursue part-time study are also welcome to apply. Part-time study will be considered on a case-by-case basis, so please discuss this option with the CDT-coordinator before making an application for this mode of study. The training programme and  associated timelines, for example the submission of reports, will be adjusted correspondingly.

More Information

The MPhil is offered by the Department of Chemistry as a full-time period of research and introduces students to research skills and specialist knowledge. Students are integrated into the research culture of the Department by joining a research group, supervised by one of our academic staff, in one of the following areas of chemistry:

  • Biological Chemistry
  • Materials Chemistry
  • Physical and Atmospheric Chemistry
  • Synthetic Chemistry
  • Theoretical Chemistry

Chemistry at Cambridge aims to support fundamental science of the highest quality in a first-class physical environment. The Department includes a large number of internationally recognised research groups covering an exceptionally broad spectrum of chemical science ranging from molecular biology to geophysics. Our enthusiastic research culture embraces new challenging interdisciplinary areas, including strong collaborations with other academic disciplines and institutions, while maintaining a powerful presence in the traditional core areas of chemistry. 

More Information

The PhD is offered by the Department of Chemistry as a full or part-time period of research and introduces students to research skills and specialist knowledge.

Please note: part-time study may not always be viable and will be considered on a case-by-case basis, so please discuss this option with your proposed supervisor before making an application to this mode of study. There are attendance requirements and part-time students will need to live close enough to Cambridge to fulfil these.

Students are integrated into the research culture of the Department by joining a research group, supervised by one of our academic staff,  in one of the following areas of chemistry:

  • Biological Chemistry
  • Materials Chemistry
  • Physical and Atmospheric Chemistry
  • Synthetic Chemistry
  • Theoretical Chemistry

Chemistry in Cambridge aims to support fundamental science of the highest quality in a first-class physical environment. The Department includes a large number of internationally recognised research groups covering an exceptionally broad spectrum of chemical science ranging from molecular biology to geophysics. Our enthusiastic research culture embraces new challenging interdisciplinary areas, including strong collaborations with other academic disciplines and institutions, while maintaining a powerful presence in the traditional core areas of chemistry. 

More Information

7 courses also advertised in the Department of Chemistry

From the British Antarctic Survey

This PhD course takes place under the joint supervision of a research scientist at the British Antarctic Survey (BAS) and a University supervisor. Students may be based at BAS but will be registered for their degree with one of the partnering departments: Archaeology & Anthropology, Land Economy, Plant Sciences, Zoology, Earth Sciences, Geography and Scott Polar Research Institute, Applied Mathematics & Theoretical Physics, Chemistry, Engineering, Computer Science and Technology.

BAS welcomes enquiries from those interested in higher degrees in earth science subjects, physics, chemistry, mathematics, biology and related areas.

More Information

From the Department of Earth Sciences

The UKRI Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) trains researchers (through several multidisciplinary cohorts) to be uniquely equipped to develop and apply leading-edge computational approaches to address critical global environmental challenges by exploiting vast, diverse and often currently untapped environmental data sets. Embedded in the outstanding research environments of the University of Cambridge and the British Antarctic Survey (BAS), the AI4ER CDT addresses problems that are relevant to building resilience to environmental hazards and managing environmental change. The primary application areas are:

  • Weather, Climate and Air Quality
  • Natural Hazards
  • Natural Resources (food, water & resource security and biodiversity)

Students in the CDT cohorts engage in a one-year MRes degree in Physical Sciences (Environmental Data Science) which includes a taught component and a major research element, followed by a three-year PhD research project. Students will receive high-quality training in research, professional, technical and transferable skills through a focused core programme with an emphasis on the development of data science skills through hackathons and team challenges. Training is guided by personalised advice and the expertise of a network of partners in industry, government, the third sector and beyond.

More Information

From the School of the Biological Sciences

The Cambridge Biosciences DTP is a four year PhD programme that aims to create highly skilled and employable people. The programme offers training across 23 University Departments/Institutes and 3 Partner Institutes providing access to a wide range of research areas related to the strategic themes of the BBSRC. We offer three types of DTP studentships:

During the programme, DTP Standard and Targeted students will undertake two ten-week rotations in different labs before commencing their PhD. They will receive training in a variety of areas including but not limited to statistics, programming, ethics, data analysis, scientific writing and public engagement. Students will also undertake a 12-week internship (PIPS).

iCASE students are not required to undertake rotations, but may do so if they feel that this training would be useful. They must undertake a placement with their Industrial Partner for a minimum of three months and a maximum of 18 months.

Students will be expected to submit their thesis at the end of the fourth year.

Part-time study, whilst not the norm, may be viable, depending on the project, and will be considered on a case by case basis so please discuss this option with your proposed supervisor before making an application for this mode of study.

More Information

From the Department of Physics

The development of new materials lies at the heart of many of the technological challenges we currently face, for example creating advanced materials for energy generation. Computational modelling plays an increasingly important role in the understanding, development and optimisation of new materials.

This four-year doctoral training programme on computational methods for material modelling aims to train scientists not only in the use of existing modelling methods but also in the underlying computational and mathematical techniques. This will allow students to develop and enhance existing methods, for instance by introducing new capabilities and functionalities, and also to create innovative new software tools for materials modelling in industrial and academic research.

The first year of the doctoral training programme is provided by the existing MPhil course in Scientific Computing, which has research and taught elements, as well as additional training elements. The final three years consist of a PhD research project, with a student-led choice of projects offered by researchers closely associated with the CDT.

More Information

From the Department of Materials Science and Metallurgy

The MPhil in Micro and Nanotechnology Enterprise is an exciting opportunity in which world-leading scientists and successful entrepreneurs are brought together to deliver a one-year master’s degree combining an in-depth multidisciplinary scientific programme with a global perspective on the commercial opportunities and business practice necessary for the successful exploitation in the rapidly developing fields of nanotechnology and nanomanufacturing.

The programme is intended for those with a good first degree in the physical sciences and relevant areas of engineering, who wish to develop research skills and commercial awareness of the cutting-edge disciplines of micro- and nanotechnology. The course will provide an unparalleled educational experience for entrepreneurs in these fields.

More Information

From the Department of Physics

The vision of this MRes+PhD is to deliver bespoke training in key areas of nanoscience and nanotechnology to translate exploratory nanoscience into impactful technologies, and to stimulate new interactions that support our vision. The MRes year provides high-quality advanced-level training through lecture courses, hands-on practicals and projects, prior to final selection of interdisciplinary PhD research projects within research groups in the Departments of Physics, Chemistry, Engineering, Materials Science or another relevant department across the University.

A significant element of the MRes training and beyond will be a focus on innovation and industry engagement, including courses on nurturing and managing innovation in a scientific context, systems design and integration of nanomaterials and devices, the responsible practice and communication of science, and opportunities to transition academic research to higher technology readiness levels and commercial applications through schemes such as the NanoFutures Leadership Awards.

More Information

From the Department of Physics

The MPhil programme in Scientific Computing is based in the Department of Physics and is a full-time 12-month course which aims to provide education of the highest quality at master’s level. Covering topics on all aspects of numerical simulation including high-performance scientific computing and advanced numerical methods, it produces postgraduates with rigorous research and analytical skills, who are well equipped to proceed to doctoral research or directly into employment in industry, the professions, and public service. It also provides training for the academic researchers and teachers of the future, encouraging the pursuit of research in computational methods for science and technology disciplines, thus being an important gateway for entering PhD programmes containing a substantial component of computational modelling.

More Information

Department Members


Dr. James Keeler
Head of Department

  • 55 Academic Staff
  • 180 Postdoctoral Researchers
  • 250 Graduate Students

http://www.ch.cam.ac.uk/

Research Areas