Independent Research Fellows (Faculty) at the Barcelona Collaboratorium for Theoretical Modelling and Predictive Biology (REF. 2023-022-P04500)
The 21st century has seen a revolution in biology. We can sequence whole genomes cheaply and fast, image the dynamics of gene activity from microscopic bacteria up to the whole human body, and precisely modify the DNA of almost any organism. This is creating vast quantities of molecular data, and giving us the tantalizing hope of being able to control, repair and engineer living systems.
However, these impressive technical advances have not yet translated into an ability to accurately control, or even to accurately predict, the behavior of most real living systems. Biology is complex, and a remaining revolution is still ahead of us: to make biology predictable and controllable – from the design of new proteins and the repair of human organs, up to the prediction of whole ecosystems. Data-generation is no longer the primary concern – technologies for quantitative data generation continue to improve at break-neck speed, both in quality and quantity. The deeper concern now is a lack of theoretical and computational tools to understand and predict complex biology – across all relevant scales.
The Collaboratorium will host independent research fellows, postdoctoral and doctoral researchers working with local groups and both short term and extended visits by international leaders in the fields of theoretical biology, artificial intelligence/machine learning, complex systems, physics of life, computer science and engineering.
The role: Independent Research Fellows (Faculty)
Collaboratorium Fellows are faculty-level appointments suitable for original and ambitious researchers in theoretical modeling, mathematical biology, and predictive biology. We will consider applications from early career researchers (researchers immediately after the PhD or up to about five years of post-doctoral experience) who are seeking to make the transition to establishing themselves as independent scientists. The successful candidate will be employed by CRM and will hold a joint appointment with both CRM and CRG. The appointee will be considered as faculty in both institutions, and will be expected to lead an independent research program with a small research group.
Applicants may have a background in any relevant discipline (including mathematics, physics, computer science, engineering or biological sciences) with a strong theoretical or quantitative background and should be interested in working in a collaborative and interdisciplinary environment of individual researchers, visitors and small teams.
Although purely theoretical and computational work is suitable for this position, collaborating with local or international experimental laboratories is encouraged. Fellows can work on biological systems at any scale from individual molecules to networks, cells, tissues, organs and ecosystems. Candidates with expertise in machine learning applied to biological data at any of these scales and/or the development of multiscale methods and models to bridge scales in multicellular systems are particularly encouraged to apply.
The Independent Fellowship package includes funding for 1 PhD student and research costs. In addition, candidates are expected to apply for external funding over the course of the Fellowship. Suitable space will be provided for a team of maximum 3 researchers.
In addition to conducting cutting-edge research in modeling and predictive biology, Collaboratorium Fellows are also expected to participate in and organize internal seminars and Collaboratorium activities in collaboration with the partner institutions (CRG, CRM, and EMBL)
Deadline: Please submit your application by 31/01/2024.
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