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Imperial College London invites applications for a physicist to join a multidisciplinary programme on computational proteomics, supported by UKRI and NSF. You will design and implement advanced computational algorithms to reconstruct peptide sequences directly from spectral data at the proteomics interface.
The role combines computation and experimental work, with mass spectrometry data acquisition in an analytical MS laboratory, collaboration with US partners, and opportunities to publish and
You will play a key role in a multidisciplinary programme on computational proteomics in a new physical dimension, supported by UKRI and the NSF, involving Imperial College London (Physics), the University of California San Diego (Computing), as well as industrial and academic partners in Europe and the US. The programme aims to develop conceptually new de novo sequencing tools based on two-dimensional partial covariance mass spectrometry, invented and developed in the Department of Physics at Imperial College London. This role offers a unique opportunity for a physicist interested in developing transformative analytical technologies.
This role combines computational and experimental aspects. You will design and implement advanced computational algorithms for reconstructing peptide sequences directly from experimental mass spectral data, without recourse to protein sequence databases. You will also be engaged in mass spectral data acquisition in an analytical mass spectrometry laboratory.
You will work collaboratively with the Imperial College team and US project partners on the development and optimisation of de novo sequencing algorithms. You will liaise with project partners and participate in data acquisition campaigns in partner laboratories.
You will hold a PhD in Physics (or a closely related quantitative discipline) and have an outstanding record of research achievement. We are particularly interested in candidates with exceptional computational and analytical skills, demonstrated through the development of novel algorithms, advanced data-analysis methodologies, scientific software, machine learning approaches or other computational research tools.
The ideal candidate will be intellectually ambitious, highly self-motivated and excited by the prospect of working at the boundary between physics, computation and biomolecular science. Experience in proteomics or mass spectrometry is not required; candidates with strong backgrounds in computational physics, statistical physics, machine learning, signal processing, inverse problems, optimisation, applied mathematics or related fields are particularly encouraged to apply.
The position is available immediately. We would ideally like the successful candidate to start as soon as possible, but the start date is flexible and can be agreed to accommodate notice periods and other commitments.
This is a full-time (35 hours per week), fixed-term role based at our South Kensington Campus.
If you require further details about the role, please contact: