Data Intensive Science Translation Fellow

Lead Research Organisation: Durham University
Department Name: Physics


The aim of this STFC Innovation Fellowship is to translate expertise developed as part of the astronomy research programme at Durham University into applications in industry. Durham Astronomy represents one of the biggest research efforts in extra-galactic astronomy in Europe, with world leading expertise in the simulation of cosmic structure formation, wide-field galaxy surveys and observations of the high redshift Universe. To date there has been little transfer of the research skills and methodologies developed in the academic research program into other sectors which face similar problems and which could benefit from techniques and approaches we have developed.

The proposal focuses on innovation transfer in three areas: i) image analysis, ii) multi-parameter model optimisation and iii) techniques for processing and mining large and sometimes incomplete datasets.

We have identified three diverse industrial partners who can potentially utilize the research expertise developed in Durham Astronomy: i) Kromek, ii) Atom Bank and iii) Modus.

The Fellow will be based in Durham University and will be seconded to the industrial partners, and will have university and industry mentors.

This proposal cuts across academic disciplines and research council support at Durham, building new collaborations with experts in image analysis from the Department of Computer Science and in multi-parameter model optimisation and model emulation from the Department of Mathematical Sciences.


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Baugh C (2020) Sensitivity analysis of a galaxy formation model in Monthly Notices of the Royal Astronomical Society

Description Atom Bank 
Organisation Atom Bank
Country United Kingdom 
Sector Private 
PI Contribution working in partnership with Atom Bank on sensitivity analysis modelling
Collaborator Contribution hosting data innovation fellow; access to bank models
Impact none yet
Start Year 2018
Description Kromek 
Organisation Kromek Group plc
Country United Kingdom 
Sector Private 
PI Contribution Investigation of using scans to detect security threats
Collaborator Contribution Hosted the innovation fellow; provided access to proprietary data
Impact none yet
Start Year 2018
Description Partner visit 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Professional Practitioners
Results and Impact Discussion of opportunities for knowledge transfer
Year(s) Of Engagement Activity 2019