Vacancies and Studentships

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These pages contain current vacancies within the department and available PhD studentships.

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Academic Vacancies

Current academic vacancies are listed below:

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Technical Vacancies

Technical Vacancies

Current technical vacancies are listed below:

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Support Vacancies

Current support vacancies are listed below:

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Post-Doctoral Research Vacancies

Post-Doctoral Research Vacancies

Current research vacancies are listed below:

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Research Associate in Computational Materials Chemistry , - Ref:1443677

Publication date:

Applications are invited for a Research Associate position within the Kathleen Lonsdale Materials Chemistry group at University College London (UCL) to work with C. Richard A. Catlow and Alexey A. Sokol on development and applications of hybrid Quantum Mechanical / Molecular Mechanical embedded cluster approaches. The project will target systems with complex geometry and electronic structure, exemplified by interfaces formed between transition metal oxides and water or other solvents. The work on the project will be carried out in close collaboration with the team of Paul Sherwood (STFC Daresbury), Tom Keal (STFC Daresbury), David J. Willock (Cardiff University), and Stephen Parker (Bath University).

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Studentships

Current PhD vacancies are listed below. See the postgraduate pages for more information on our PhD programmes.

Current Available Studentships

Computational Chemistry Studentships

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Modelling Drug-resistance mutations and patient specific drug treatment for anti-cancer targets

Publication date:


Applications are invited from suitably qualified candidates for this three-year EPSRC funded position. The PhD studentship will be based in the Department of Chemistry at UCL, supervised by Professor Peter Coveney from the Centre for Computational Science, and co-supervised by Prof Francesco Gervasio from the Department of Chemistry and the Institute of Structural and Molecular Biology.

The emergence of drug resistance is a major problem in developing targeted therapies for cancer as we move toward the era of personalised medicine. The main goal of our research is to use state-of-the-art modelling and simulation to understand the effect of drug-resistance caused by mutations at the molecular level in protein kinases, a protein family involved in cancer onset and progression. The in-depth knowledge acquired by the student will be used to help developing better kinase inhibitors and patient specific anti-cancer treatments. The groups of Prof Coveney and Prof Gervasio specialize in the development and application of atomistic molecular dynamics simulations and free energy calculations to bio-molecular systems. Our work will be facilitated by access we have to supercomputers within UK, throughout Europe and USA, providing the student with experience of distributed, high performance computating.

This is a very exciting opportunity for a student with a strong chemistry, bio-physics, physics, engineering or computer science background to tackle the complexity arising in this fascinating area of biology and biomedicine. The minimum requirement is a first class or upper second class honours degree (MSci, MEng) or equivalent. Prior experience of experimental biology is not necessary.

Applications, including a full and up to date CV, together with the names and addresses (email and physical) of two academic referees should be sent as soon as possible to Prof P V Coveney, email p.v.coveney@ucl.ac.uk to whom informal inquiries may also be made.

The deadline for applications is 5 p.m. on Wednesday December 10th. Only UK resident students are eligible to apply.

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Inorganic and Materials Chemistry Studentships

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Biological and Organic Chemistry Studentships

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Modelling Drug-resistance mutations and patient specific drug treatment for anti-cancer targets

Publication date:


Applications are invited from suitably qualified candidates for this three-year EPSRC funded position. The PhD studentship will be based in the Department of Chemistry at UCL, supervised by Professor Peter Coveney from the Centre for Computational Science, and co-supervised by Prof Francesco Gervasio from the Department of Chemistry and the Institute of Structural and Molecular Biology.

The emergence of drug resistance is a major problem in developing targeted therapies for cancer as we move toward the era of personalised medicine. The main goal of our research is to use state-of-the-art modelling and simulation to understand the effect of drug-resistance caused by mutations at the molecular level in protein kinases, a protein family involved in cancer onset and progression. The in-depth knowledge acquired by the student will be used to help developing better kinase inhibitors and patient specific anti-cancer treatments. The groups of Prof Coveney and Prof Gervasio specialize in the development and application of atomistic molecular dynamics simulations and free energy calculations to bio-molecular systems. Our work will be facilitated by access we have to supercomputers within UK, throughout Europe and USA, providing the student with experience of distributed, high performance computating.

This is a very exciting opportunity for a student with a strong chemistry, bio-physics, physics, engineering or computer science background to tackle the complexity arising in this fascinating area of biology and biomedicine. The minimum requirement is a first class or upper second class honours degree (MSci, MEng) or equivalent. Prior experience of experimental biology is not necessary.

Applications, including a full and up to date CV, together with the names and addresses (email and physical) of two academic referees should be sent as soon as possible to Prof P V Coveney, email p.v.coveney@ucl.ac.uk to whom informal inquiries may also be made.

The deadline for applications is 5 p.m. on Wednesday December 10th. Only UK resident students are eligible to apply.

Postgraduate Open Day - Organic and Chemical Biology

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Physical Chemistry Studentships

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