The Division of Biosciences at UCL is a major centre for research and teaching in the biological sciences, fostering curiosity-driven research that spans molecules to ecosystems. Within Biosciences, the Research Department of Structural & Molecular Biology (SMB) provides a stimulating and diverse research environment where important and exciting areas of modern biology, biophysics, biochemistry, biotechnology and medicine are investigated at the atomic, molecular, cellular and organism level. We are recruiting a Lecturer (Assistant Professor equivalent) or Associate Professor in AI for Biomolecular Design & Molecular Interactions to expand our strengths in Computational Biology and Bioinformatics as applied to research surrounding Modelling and Design of Life. This role also forms part of AI for Life, a major programme across Biosciences in computational and artificial intelligence-driven life sciences.
An exciting development in AI-driven biosciences is the development of predictive and generative models of biomolecular interactions, spanning protein–ligand, protein–protein, and protein–nucleic acid systems. Next-generation approaches that integrate structural, thermodynamic and sequence-level information to model binding specificity, affinity, and conformational dynamics, and on translating these insights into the rational design of novel molecules and interaction networks, will enable precise control of biomolecular interactions and functions.
This is an exciting opportunity to become a Lecturer/Associate Professor at UCL. The successful candidate will take an active role in the Research Department of Structural & Molecular Biology (SMB), developing international standard, competitive research programme, conducting teaching and training of undergraduate and postgraduate students, and supporting the Departmental vision of creating an impact on the life of the University and the society.
The successful candidate will establish (at Grade 8) or expand (at Grade 9) a research and teaching programme centred on original, AI-driven approaches for biomolecular design, with a focus on molecular recognition and interaction engineering. We are particularly interested in candidates with a track record of developing innovative approaches combining elements of structural biology, biophysics, quantitative biology and machine learning, to understand and design interactions between proteins, small molecules, and nucleic acids. This new research programme will be fully embedded within research activities of SMB, providing opportunities of fruitful interactions between experimentalist and theoreticians, shaping and expanding new research directions. The postholder will play a pivotal role in SMB's teaching activities, contributing teaching in relevant areas (e.g. computational biology, protein-nucleic acid/small molecule interactions, protein/biomolecular design) at both undergraduate and postgraduate levels, including a new cross-division MRes AI for Bioscience.
This appointment is subject to UCL Terms and Conditions of Service for Academic Staff. Interviews will be provisionally scheduled for early January 2027.
You will have a PhD or equivalent qualification in a relevant field and an innovative research agenda in AI for Biomolecular Designs and Molecular Interactions, Computational Biology applied to Molecular Biosystems or in a closely related area with clear quantitative and data science strength. You will have experience of research-led teaching at undergraduate and/or postgraduate level, with a strong interest in interdisciplinary working, external engagement and translational impact. You will also show the potential to build collaborative partnerships, attract research funding, and contribute to an inclusive and ambitious academic environment.
The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work.
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
As London's Global University, we know that diversity and inclusion are fundamental drivers of creativity, innovation, and excellence, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong, thrive, and reach our full potential. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian, and ethnic minority backgrounds; disabled people; and for our Grade 9 and 10 roles, women.
Tagged as: Life Sciences
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