Computational Researcher

Found in: Talent UK C2 - 1 week ago

Midlothian, United Kingdom The University of Edinburgh Full time

We are looking for a highly motivated computational researcher with a proven record in machine learning and computer vision/bioimage analysis to take the computational lead on a pioneering project to map the impacts of diseases including Alzheimer’s disease and schizophrenia on the brain.

The opportunity: 

This post is full-time (35 hours per week), however, we are open to considering flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. This position is fixed term until 31 Oct 2025 in the first instance, with the possibility of extension.

Understanding the complexity of the brain in health and disease remains a landmark challenge. The aim of our project is to quantitatively map the trillions of nerve cell connections (synapses) across the brain. This highly ambitious goal will be delivered by a team of dedicated scientists using cutting-edge AI-based image analysis methods to decode terabyte-level data obtained by brain microscopy. You will play a key role by working closely with our team of experimental and computational neuroscientists to develop and maintain the image data analysis pipeline that detects and characterises these synaptic connections. This post offers a unique opportunity to leverage state-of-the-art AI technologies to address basic science questions, including how this architecture of brain connections is impacted by pathology. While we value experience, we equally welcome applications from suitably qualified candidates who may be earlier in their career but can demonstrate a willingness and capacity to develop and expand their skills as they grow into the role.

As part of this application you should include a one page document outlining how you meet the essential criteria for this post noted on the job description.

Your skills and attributes for success:

Degree in computer science or related computing/bioinformatics discipline. Experience in machine learning and image analysis. Experience in GPU-based programming or in a distributed-computing environment would be advantageous for this post. An interest in neuroscience and brain anatomy. An outstanding team player who will thrive within a multidisciplinary, highly collaborative research group .

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