Job Description

About us University College London (UCL) UCL is a multi-disciplinary university with a population of over 13,000 staff and 42,000 students from 150 different countries. Degree programmes are provided in Arts and Humanities, Built Environment, Brain Sciences, Engineering Sciences, Education, Laws, Life Sciences, Mathematical & Physical Sciences, Medical Sciences, Population Health Sciences and Social and Historical Sciences. For more information, please visit http://www.ucl.ac.uk/about UCL Mechanical Engineering UCL Mechanical Engineering has been pioneering the development of engineering education, having taught the core discipline for over 165 years. UCL was home to the UK\xe2\x80\x99s first ever Professor of the Mechanical Principles of Engineering, Eaton Hodgkinson, in 1847. It was also where Sir Alexander Blackie William Kennedy introduced organized laboratory practicals in university education training; a world-leading educational innovation at the time.

About the role UCL is seeking to appoint a Research Fellow to intigrate Hierarchical Phase-Contrast Tomography (HiP-CT), an ex vivo X-ray imaging technique (bit.ly/HiP-CT-paper); into multimodal imaging pipelines for mapping the human connectome. HiP-CT has been recognised as a key tool in human connectome mapping efforts as it enables high resolution imaging of the whole intact human brain followed by zooming down to single cell resolution at any location. The successful applicant will be part of an international team seeking to develop the first multi-scale, multi-modal datasets of the human connectome. MRI, HiP-CT, light-sheet and micro-CT etc. will ultimately be applied to the same human brain, and developing compatible HiP-CT scanning protocols and correlating strucutres across modalities is the responsibility of this position. The Research Fellow will be based in UCL Mechanical Engineering Department (London), with travel to European Sychrotron Radiation Facility, Grenoble (France) at times. This post is funded for 2 years initially, with the possibility of renewal. A job description can be accessed at the bottom of this page. To discuss the post or application process informally, contact Claire Walsh: c.walsh.11@ucl.ac.uk

About you You will have a PhD and extensive knowledge and expertise in a relevant field. Experience with 3D imaging of human/mammalian brain is essential as is experience in 3D image processing. Experience with multi-modal image registration is desirable as is the ability to prepare samples for scanning. Your expertise should be at a level appropriate for the conduct of research and publishing in leading international research journals. The post-holder will need to show a high level of initiative and an ability to work collaboratively and independently. Applicants should have good team-working skills and a strong command of English. Ideally, you would have a proven track record in 3D X-ray or correlative imaging and image processing of biological samples and or a strong track record in human neuroscience specifically in neuroanatomy. You will join a dynamic, international, multidisciplinary group using HiP-CT to produce the first mapping of the connectome on a whole human brain across the scales.

What we offer For information about our rewards and benefits please visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits.

Our commitment to Equality, Diversity and Inclusion As London\xe2\x80\x99s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world\xe2\x80\x99s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL\xe2\x80\x99s workforce. These include people from Black, Asian, and ethnic minority backgrounds; disabled people and LGBTQI+ people.

Available documents

University College London