Postdoctoral Fellow in Scientific Machine Learning

Location: The Francis Crick Institute, Midland Road, London

Short summary

The Fröhlich lab builds computational models to unravel the regulatory principles underlying the dynamics of intracellular signalling. We build these models by blending techniques from mathematical modelling and machine learning. More details about the group and our research interests can be found on the lab’s webpage www.frohlichlab.com

Research projects will be supported by a vibrant, multi-disciplinary scientific community at the Crick, with ample opportunities for internal and external collaborations. Moreover, the candidate will have access to state-of-the-art core facilities at the Crick, including the High-Performance-Computing platform, as well as structured career development and rich networking opportunities.

The Role

Multiple research avenues are pursued within our laboratory, offering the successful candidate the autonomy to develop and lead their own independent research projects aligned with the lab’s focus. Prospective projects encompass:

• Unravelling emergent dynamical laws from complex mathematical models of protein-protein interactions.
• Crafting dynamic, multi-pathway signal transduction models by integrating prior knowledge networks (PKNs) with phosphoproteomic data. Transforming PKNs, which consolidate knowledge graphs, pathway databases, and protein structure information, into simulatable models allows for validation against dynamic multi-condition proteomics datasets.
• Deciphering cell cycle dynamics using pseudo-time embeddings derived from snapshot mass cytometry data. Leveraging low-dimensional embeddings to temporally order unsynchronized cell populations based on cell cycle marker expression facilitates the learning of dynamic models from static snapshot data.

Key Responsibilities

The post holder will be responsible for:

• Leading and developing specific research projects
• Developing and maintaining computational tools
• Applying methods to biological data and interpreting results
• Collaborating with national and international partners
• Presenting work at lab meetings as well as national and international meetings
• Publishing scientific results
• Assisting in training graduate students and other members of the laboratory

About us

The Francis Crick Institute is a biomedical discovery institute dedicated to understanding the fundamental biology underlying health and disease. Its work is helping to understand why disease develops and to translate discoveries into new ways to prevent, diagnose and treat illnesses such as cancer, heart disease, stroke, infections, and neurodegenerative diseases.

An independent organisation, its founding partners are the Medical Research Council (MRC), Cancer Research UK, Wellcome, UCL (University College London), Imperial College London and King’s College London.

The Crick was formed in 2015, and in 2016 it moved into a new state-of-the-art building in central London which brings together 1500 scientists and support staff working collaboratively across disciplines, making it the biggest biomedical research facility under in one building in Europe.

The Francis Crick Institute will be world-class with a strong national role. Its distinctive vision for excellence includes commitments to collaboration; developing emerging talent and exporting it the rest of the UK; public engagement; and helping turn discoveries into treatments as quickly as possible to improve lives and strengthen the economy.

• If you are interested in applying for this role, please apply via our website.
• There is no end date for this role
• All offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom.

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