Data Intensive Science Translation Fellow

该STFC创新奖学金的目的是将作为达勒姆大学天文学研究计划一部分开发的专业知识转化为工业应用。达勒姆天文学代表了欧洲最大的河外天文学研究成果之一，在宇宙结构形成模拟、宽视场星系调查和高红移宇宙观测方面拥有世界领先的专业知识。迄今为止，学术研究计划中开发的研究技能和方法很少转移到其他面临类似问题的部门，这些部门可以从我们开发的技术和方法中受益。 该提案侧重于三个领域的创新转让：i）图像分析，ii）多参数模型优化和iii）处理和挖掘大型且有时不完整的数据集的技术。我们已经确定了三个不同的工业合作伙伴谁可以潜在地利用达勒姆天文学开发的研究专业知识：i）克罗梅克，ii）原子银行和iii）模式。该研究员将在达勒姆大学工作，并将借调给工业合作伙伴，并将有大学和工业导师。该提案跨越了达勒姆的学科和研究理事会支持，与计算机科学系的图像分析专家以及数学科学系的多参数模型优化和模型仿真专家建立了新的合作关系。

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.