About the role
This is an exciting opportunity to become a Lecturer at UCL. The successful candidate will take an active role in the Department of Structural and Molecular Biology (SMB), developing international standard, competitive research programme, conducting teaching and training of undergraduate and postgraduate students, and supporting Departmental’s vision of creating an impact on the life of the University and the society.
We are looking to establish a new research and teaching programme within SMB. Almost all modern biosciences research techniques, from molecular biology, biochemistry and biophysics through sequencing and bioinformatics, require handling large amounts of data. There is an urgent need for innovative strategies to derive new models and theoretical approaches aimed at extracting meaningful insights from the vast amounts of available data in modern biology. Advances in artificial intelligence and computational biology have the potential to transform scientific research by streamlining data analysis, creating predictive models, and offering feedback between experiments and molecular models. We are particularly interested in candidates with research interests encompassing computational biology of molecular systems, artificial intelligence/machine learning, and interpretable biological modelling. We welcome research exploiting the integration of bioinformatics, systems biology, and biophysics to model and analyze molecular systems at different scales, from individual biomolecules to complex cellular networks. This position will play a pivotal role in the research program of SMB, providing opportunities of fruitful interactions between experimentalist and theoreticians, shaping and expanding new research directions.
This appointment is subject to UCL Terms and Conditions of Service for Academic Staff. Please visit for more information.
A job description and person specification can be accessed at the bottom of this page. If you have any queries about the role, please contact Prof. Franca Fraternali at .
If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact Biosciences staffing at .
About you
We are looking for a new Lecturer to join the Department of Structural and Molecular Biology (SMB). They will develop internationally competitive research programme, and conduct teaching and training of undergraduate and postgraduate students. The specific research focus is on developing innovative strategies to derive new Artificial Intelligence and Machine Learning approaches aimed at extracting meaningful insights from the vast amounts of available data in modern biology. We are therefore particularly interested in candidates with research interests encompassing computational biology of molecular systems, artificial intelligence/machine learning, and interpretable biological modelling. The successful candidate will play a pivotal role in the research program of SMB, providing opportunities of fruitful interactions between experimentalist and theoreticians, shaping and expanding new research directions. In addition to developing and conducting the research, you will communicate results as scientific papers and in scientific presentations at local, national, and international conferences.
You must have a proven track record in computational biology, bioinformatics, systems biology, and/or biophysics to model and analyze molecular systems at different scales, from individual biomolecules to complex cellular networks. Candidates with experience of teaching these subjects, machine learning and data science skills to students of a biological background would also be at a significant advantage.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days’ annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan and expenses
• Relocation scheme for certain posts
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance
