research software engineer (computer vision)
£31,521
per year
25 days ago
DUNDEE
Deadline: 14 April 2021
🚫 You must satisy all mandatory requirements
70/70
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This is an exciting opportunity for a skilled and motivated Research Software Engineer (RSE), specialising in computer vision to join our world-class Research Computing team at the James Hutton Institute. The Hutton Group is at the forefront of innovative and transformative science for the sustainable management of land, crop and natural resources. The Research Computing team is part of the Information and Computational Sciences Department which provides an open and collaborative environment where interdisciplinary working thrives. The department encompasses expertise in bioinformatics, geoinformatics, soil science, community planning, policy analysis, risk assessment and integrated complex systems modelling, as well as research and high-performance computing.
One of our upcoming strategic development projects is the Advanced Plant Growth Centre (APGC) which will feature state-of-the-art controlled environments for growing plants and a high-throughput phenotyping facility. Plant phenotyping is the quantitative measurement of structural and functional plant properties that relies on computational image analysis.
The successful candidate will work with optical and hyper-spectral sensing-based plant phenotyping images, developing and utilising methods and/or pipelines to assist in automating the analysis of hundreds or thousands of images per day. This will involve plant phenotyping, image analysis, deep learning and statistics/mathematical modelling based combined approaches to support early stress detection, crop monitoring and improving agricultural precision management.
We are seeking an enthusiastic research software engineer with these skills, with the ability to potentially develop bespoke applications – utilising web services and our high-performance computing environment – that can be then be run by end-user biologists. The post requires a computer vision expert, ideally with a computing degree or reasonable software engineering experience. You should have sound technical skills and be enthusiastic about computing technologies and their application to research.
This post is based in Invergowrie, near Dundee but there could be opportunities for home working, as well as a requirement to travel between Hutton sites. The post may also include international travel to attend conferences and/or project collaboration meetings.
For further information please read the detailed job description or contact Dr Iain Milne for an informal discussion.
Main Purpose of Job
This RSE post will develop and deliver computer vision projects aligned to the APGC facility, as well as diverse projects across the institute. The post holder will be part of a team that works on a range of world-leading bioinformatics visualization, database, and analysis and decision support tools. You will research and implement novel techniques and/or software applications to perform image analysis to aid in the high-throughput phenotyping of plants. Image processing as well as software development will be required, so proficiency with one or more programming languages is essential. As this is a fast-moving field, there will be there is also ample opportunity for skills development.
You will be responsible for delivering technical expertise across multiple projects simultaneously with a specific remit for computer vision projects. You will be expected to proactively collaborate with researchers, supporting the use of relevant technologies and contribute software engineering skills into projects. A strong background in biology is desirable but not essential, but you will be expected to communicate effectively with domain experts and contribute to academic writing when appropriate.
One of our upcoming strategic development projects is the Advanced Plant Growth Centre (APGC) which will feature state-of-the-art controlled environments for growing plants and a high-throughput phenotyping facility. Plant phenotyping is the quantitative measurement of structural and functional plant properties that relies on computational image analysis.
The successful candidate will work with optical and hyper-spectral sensing-based plant phenotyping images, developing and utilising methods and/or pipelines to assist in automating the analysis of hundreds or thousands of images per day. This will involve plant phenotyping, image analysis, deep learning and statistics/mathematical modelling based combined approaches to support early stress detection, crop monitoring and improving agricultural precision management.
We are seeking an enthusiastic research software engineer with these skills, with the ability to potentially develop bespoke applications – utilising web services and our high-performance computing environment – that can be then be run by end-user biologists. The post requires a computer vision expert, ideally with a computing degree or reasonable software engineering experience. You should have sound technical skills and be enthusiastic about computing technologies and their application to research.
This post is based in Invergowrie, near Dundee but there could be opportunities for home working, as well as a requirement to travel between Hutton sites. The post may also include international travel to attend conferences and/or project collaboration meetings.
For further information please read the detailed job description or contact Dr Iain Milne for an informal discussion.
Main Purpose of Job
This RSE post will develop and deliver computer vision projects aligned to the APGC facility, as well as diverse projects across the institute. The post holder will be part of a team that works on a range of world-leading bioinformatics visualization, database, and analysis and decision support tools. You will research and implement novel techniques and/or software applications to perform image analysis to aid in the high-throughput phenotyping of plants. Image processing as well as software development will be required, so proficiency with one or more programming languages is essential. As this is a fast-moving field, there will be there is also ample opportunity for skills development.
You will be responsible for delivering technical expertise across multiple projects simultaneously with a specific remit for computer vision projects. You will be expected to proactively collaborate with researchers, supporting the use of relevant technologies and contribute software engineering skills into projects. A strong background in biology is desirable but not essential, but you will be expected to communicate effectively with domain experts and contribute to academic writing when appropriate.
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