Research Software Engineer Job Glasgow area,Scotland UK,Research/Development

Job Purpose

Based within the University of Glasgow’s Centre for Data Science and Artificial Intelligence (AI), and working closely with Research Computing as a Service (RCaaS) teams, make a leading contribution to the creation and delivery of world changing research by applying digital and scientific expertise to provide data driven solutions which can be applied to research questions and challenges. The appointed candidates will work with the researchers and the experts at the Centre for Data Science and AI and RCaaS in order to support the research projects that contribute data driven solution to the grand challenges that are aligned with the visions of the centre and within the six key Data Science and AI areas;
Health and Life Sciences, Social Sciences and Economics, Engineering and Physical Sciences, Arts and Humanities, Innovation and Impact, and the Science of Data Science and AI.

Main Duties and Responsibilities

Initiate, maintain, and co-lead collaborative research projects within research community, acting as a scientific partner to develop and maintain high-quality, well-tested software as a research tool or output, with software development projects.

Collaborate with Principal Investigators (PIs) to make a leading contribution to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support the Centre for Data Science and AI and RCaaS, and the research software engineering strategy and core research outputs of the University of Glasgow.

Present, disseminate and explain the team’s work through presentations, reports and well-documented software packages.

Develop and maintain relationships with research colleagues to lobby and evangelise for better software practices and play a leading role in the development of the community of practice and broadening outreach efforts for research software engineering best practices, taking distinct responsibility for leading significant strands of the community of practice.

Develop and deliver training to research colleagues to support the development of computational and software engineering skills in the academic community.

Undertake knowledge transfer within the team and appropriate external colleagues such as those within the University’s Shared Research Facilities and the RCaaS group in appropriate venues including training programmes, tutorials, hackathons and data study groups.

Advise on and develop plans to enable research colleagues to use high-performance computing facilities in the Schools, College, University and wider computing centres.

Support and contribute to open research, such as by applying FAIR (findable, accessible, interoperable and reusable) principles of research data and tools, within the Centre.

Develop and enhance the profile and reputation of self, the Centre for Data Science and AI, RCaaS, and the University of Glasgow, including establishing and sustaining a track record of making a specialist contribution to publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem.

Support the Centre for Data Science and AI, Research Software Engineering Lead and wider RCaaS group by playing a leading role in aspects of project management.

Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan, World Changers Together.

Knowledge, Qualifications, Skills and Experience Knowledge / Qualifications

Essential:

A1 Postgraduate qualification SCQF level 12(PhD) in a related Computer Science, Engineering or STEM subject or alternatively possess the equivalent in professional qualifications and experience, with experience of personal development in a similar or related role with a growing reputation in research.
A2 Excellent knowledge of applying state-of-the-art and novel data science and AI techniques emerging from research teams and elsewhere.
A3 Breadth and/or depth of knowledge of programming languages (including Python, R, C++, Java, Julia,

C), frameworks, platforms and…


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