Queen’s University Belfast

About the job: Fortran is one of the oldest programming languages still in active use today, having been first developed 70 years ago. Despite its age, it continues to contribute, and in some cases is indispensable, to many international science and engineering projects and products, such as climate change modelling. The FortranFuture NetworkPlus project is a three-year EPSRC-funded project that seeks to answer the high-level question: How do we sustain sciences, and engineering disciplines, currently dependent on Fortran so that they continue to advance knowledge - and contribute to society, the economy and the environment - for the next 70 years? Initially at least, FortranFuture takes a neutral position on this question, intentionally not presupposing an answer. Whatever the way forward for sciences currently dependent on Fortran - e.g., to invest in or divest of Fortran - there is the critical need to develop a strong international community in this area, to ensure that non-technical issues and challenges are sufficiently well understood, and to ensure appropriate tooling and other resources (including education and training) are available. Thus, there is the vital need to engage with complex sociopolitical expectations and constraints. FortranFuture is an interdisciplinary collaboration between software engineering and social science researchers at Queen's University Belfast and University of Southampton. The project has (currently) 25+ institutional partners (in the UK and internationally) and, separately, a community of practice of 75+ practitioners, including research software engineers, computational scientists and other stakeholders and policy makers. FortranFuture will strengthen the existing community of practice, establish an interdisciplinary research network, undertake qualitative research (and potentially also quantitative research) to understand the communities' needs and priorities, and develop a roadmap for the future of Fortran based science. To support this activity and outputs, FortranFuture has flexible funding to fund small/er investigative projects undertaking by practitioners and researchers that will complement the work of the Research Fellow and the core investigative team. We anticipate the role will involve some hybrid working. The start date for this post will be 1 September 2026 (or after). About the person The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Normally have or be about to obtain a relevant PhD. In a research area that supports the interdisciplinary and sociotechnical aspects of the project, for example: in a social science discipline such as digital sociology or anthropology, socio-technical studies, information systems, systems thinking, or in a technical discipline with socio-technical dimensions such as Computer Supported Cooperative work and Human Computer Interaction, software sustainability and computational sciences.Significantrelevant research experience to include:Experience in research design and the use of qualitative research methods to collect data (for example interviews, focus groups, observation and ethnography) and analyse data (for example NVivo and other CAQDAS tools.To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.

The post holder will be responsible for the development of strategic relationships and partnerships between AMIC and the manufacturing community. The role will take the lead in scoping, developing and authoring of commercial proposals with input and guidance from relevant senior and technical staff. The post holder will leverage relevant government support programmes to support client investment commitments, and will play a supporting role in the management of AMIC's membership offer, helping to secure new membership commitments and scoping projects with the existing membership portfolio. MAJOR DUTIES: Build AMIC’s strategically important relationships to develop and implement strategies for contract and collaborative research, innovation and knowledge transfer. Manage a pipeline of commercial opportunities, developing commercial proposals and closing contracts. Provide an outward-looking interface for AMIC in its innovation collaborations with industrial partners, working with manufacturing SME partners to provide tactical support and advice. Develop opportunities and support collaborative projects to secure funding to deliver outcomes to benefit industry and address societal challenges. To coordinate the scoping of major commercial R&D&I projects with industrial partners working with the AMIC team to deliver industry-relevant, sustainable outcomes. This will involve developing project plans, defining deliverables and timelines, managing intellectual property and identifying case studies To harness mechanisms to build collaborative research opportunities between AMIC and the Advanced Manufacturing sector. Maintain an up-to-date awareness of business support programmes that are relevant to AMIC (e.g. from INI, Innovate UK, EU) and match these to opportunities and collaborative partners. To develop and maintain insight and awareness of the needs of SMEs within the Advanced Manufacturing sector, seeking to identify common business needs and solutions through collaborative R&D&I, specialist support and/ or skills opportunities. To support AMIC’s wider relationships with businesses, research institutes and Further Education colleges within the region seeking to ensure a coherent and cohesive approach to innovation initiatives. About The Person We are seeking a client and revenue focused individual with proven experience of developing innovation partnerships with manufacturing businesses. An exceptional communicator you will identify opportunities and build partnerships for AMIC's advanced manufacturing capabilities to support businesses, grow innovation and solve societal challenges. ESSENTIAL CRITERIA: Honours degree or equivalent in a relevant subject area e.g. Engineering, Manufacturing, Engineering/Technology Management, ICT or Physical Sciences OR minimum HND in a similarly related discipline with extensive recent and relevant experience. Significant recent and relevant experience of developing, building and managing commercial relationships leading to income generation. An understanding, at a practitioner level of the processes involved in compiling commercial proposals, grant funding bids or business cases. Evidenced experience of working with the business community to deliver successful outcomes to benefit industry and address societal challenges. Well-developed analytical skills and ability to analyse complex information to problem solve and inform decision making. Ability to work independently with a high level of self-motivation, whilst also working in a wider team. Excellent written and oral communication skills as well as an ability to influence at all levels. High level of attention to detail and ability to deliver effective written reports and presentations to meet audience needs. Evidence of strong interpersonal and networking skills with ability to relate to and influence internal and external stakeholders. Some working outside of standard working times may be required to meet the responsibilities of the post and needs of stakeholders. It should be possible to plan and schedule for this activity 90% of the time. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website.

An experienced and motivated postdoctoral scientist is sought to join the Kyriazakis Quantitative Animal and Veterinary Science Group at the School of Biological Sciences of Queen's University Belfast. The successful candidate will undertake a senior role in the planning and delivery of research activities focused on assessing the interconnections between inputs and outputs in beef cattle and sheep systems in relation to animal health by using AI tools. The The cross-disciplinary Group consists of members with skills in veterinary and animal science, sustainability assessment, and data and computer sciences, and focuses on the development and application of transformative technologies for, and the quantitative assessment of their impacts on the sustainability of livestock systems. This particular role addresses the latter, as the job holder will be expected to develop methods and apply them for the Surveillance and Early Warning for Emerging Threats in Livestock using Artificial Intelligence. The post is aligned with SENTINEL, a collaborative project between the leading agricultural and veterinary Institutions on the island of Ireland (University College Dublin, AgriFood and Bioscience Institute,Teagasc). The successful candidate will have a demonstrable track record in Data Science with an excellent PhD degree awarded and strong publication record. The successful candidate will have responsibilities in independent research, supervision, planning, day-to-day lab management, collaborations and outreach. The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have or about to obtain* a PhD in Data Science or a related discipline (*must be obtained within 3 months of commencement of employment). Significant relevant research experience in data mining and fusion, and dealing with large datasets that may contain potentially noisy, structured or unstructured data. Experience in Machine Learning and in programming languages such as Python, C++ or Go. Experience in statistical methodology, dealing with epidemiological approaches to the interconnectivity of inputs and outputs in livestock systems. Peer reviewed publications or preprints in the area of Data Science, including first author ones. This is not an exhaustive list. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information.  This post is available for 35 months or until 31 March 2029, whichever is soonest. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.