The Gatsby Unit (GCNU) at UCL has been at the forefront of theoretical neuroscience and machine learning since its establishment in 1998. The Sainsbury Wellcome Centre (SWC) brings together world-leading scientists to investigate how brain circuits process information to generate perception, form memories and guide behaviour in its mission is to generate experimentally testable theories of brain function.
We have a specialist and experienced professional services team structured to efficiently support research activity and deliver effective management and operational leadership of the Centre. About the role
You will be part of SWC/GCNU’s community of staff scientists and research technology professionals, both delivering the services and systems which make data and compute-intensive research possible, and discovering and innovating new tools, practices, and systems in this field.
Within the role you will: Design, develop, enhance and automate new computing and data infrastructures and related tools and services for use by researchers, including anything from high-performance and high-throughput parallel infrastructures to services for data management; Support the operation of research platforms and tools, assisting researchers with advice and help as needed, and recommending and implementing improvements based on user feedback; Work closely as part of a team with researchers to develop bespoke, scalable, sustainable infrastructure and applications to support their projects; Act as a driver of best practice in research infrastructure technologies and/or applications. About you
You should have experience managing and deploying: Linux-based HPC clusters, from bare-metal using OOB/PXE tools & Puppet or equivalent; Linux based workstations (modelled on the HPC nodes); Ceph & CephFS - or equivalent parallel, high-availability filesystems; Linux software stacks based on Environment Modules or equivalent, suitable for CPU & GPU codes; Familiarity with Python, TensorFlow and other relevant languages/platforms is desirable. What we offer
We offer competitive salaries and an award-winning work environment. Our facilities include an on-site high-performance computer platform, an extensive seminar programme and interaction space, an on-site brasserie, and outdoor spaces. Our staff are entitled to UCL's full range of staff benefits, including a generous annual leave entitlement, family-friendly policies such as occupational shared parental pay, pension schemes and a range of financial benefits such as a season ticket loan scheme and staff discounts. Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s 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’s workforce in this type of role. Interest from women and those from an ethnic minority background is particularly welcome, as they are under-represented within UCL at these levels. We also positively recognise and welcome applications from applicants who have had career breaks.
#J-18808-Ljbffr
We have a specialist and experienced professional services team structured to efficiently support research activity and deliver effective management and operational leadership of the Centre. About the role
You will be part of SWC/GCNU’s community of staff scientists and research technology professionals, both delivering the services and systems which make data and compute-intensive research possible, and discovering and innovating new tools, practices, and systems in this field.
Within the role you will: Design, develop, enhance and automate new computing and data infrastructures and related tools and services for use by researchers, including anything from high-performance and high-throughput parallel infrastructures to services for data management; Support the operation of research platforms and tools, assisting researchers with advice and help as needed, and recommending and implementing improvements based on user feedback; Work closely as part of a team with researchers to develop bespoke, scalable, sustainable infrastructure and applications to support their projects; Act as a driver of best practice in research infrastructure technologies and/or applications. About you
You should have experience managing and deploying: Linux-based HPC clusters, from bare-metal using OOB/PXE tools & Puppet or equivalent; Linux based workstations (modelled on the HPC nodes); Ceph & CephFS - or equivalent parallel, high-availability filesystems; Linux software stacks based on Environment Modules or equivalent, suitable for CPU & GPU codes; Familiarity with Python, TensorFlow and other relevant languages/platforms is desirable. What we offer
We offer competitive salaries and an award-winning work environment. Our facilities include an on-site high-performance computer platform, an extensive seminar programme and interaction space, an on-site brasserie, and outdoor spaces. Our staff are entitled to UCL's full range of staff benefits, including a generous annual leave entitlement, family-friendly policies such as occupational shared parental pay, pension schemes and a range of financial benefits such as a season ticket loan scheme and staff discounts. Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s 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’s workforce in this type of role. Interest from women and those from an ethnic minority background is particularly welcome, as they are under-represented within UCL at these levels. We also positively recognise and welcome applications from applicants who have had career breaks.
#J-18808-Ljbffr
