Job number ACAD104047
Division/School – School of Cellular and Molecular Medicine
Contract type – Open Ended
Working pattern – Full time
Salary £33,199 – £37,345 per annum
Closing date for applications 2-Dec-2019
A postdoc position in computational image analysis and AI is available for a highly motivated and talented researcher with expertise in quantitative image analysis (particularly in cell segmentation/tracking from multi-channel time-lapse fluorescence microscopy images) and machine learning/artificial intelligence (ML/AI; particularly novel approaches like CNNs, GANs) in the group of Prof Rafael Carazo Salas in the University of Bristol UK (https://research-information.bristol.ac.uk/en/persons/rafael-e-carazo-salas(a7638b29-53e4-49ba-82b5-98b21d82f41f).html).
The goal of this project is to clarify and predict how individual human pluripotent stem cells (hPSCs) make cell fate decisions using computational image analysis and ML/AI, by mining tens of thousands of cell lineages and millions of single-cell data points in feature space that our group routinely generates by multiday/multicolour time-lapse epifluorescence microscopy.
Applicants should hold a PhD in Computational Image Processing, Computer Vision, Machine Learning/Artificial Intelligence or a related subject.
The project is part of an international HFSP collaboration with partners in Switzerland and the USA.
For informal enquiries please contact Professor Rafael E. Carazo Salas, phone: +44 (0)117 331 2046 or email: firstname.lastname@example.org.
We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.