68 process-engineering-"https:"-"https:"-"https:"-"https:" positions at Lancaster University
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annum. Application Process To apply, please complete the on-line application process by submitting your application via the Stonefish system by 14 July 2026 in the following format: 1. A short (two-pages
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thousands of students across campus, giving them an outlet for their passions and helping them to develop new skills in the process. You’ll become part of an energetic team dedicated to supporting students
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administrative and project-based work supporting the day-to-day operation of the UK student recruitment team. Please note, this role will require, throughout certain times of the year, periods of travel around the
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, you will support PSU research by taking a leading role in overseeing the operation and maintenance of key infrastructure in the facility and in employing and developing new computer systems to support
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and reporting skills are essential. You will be familiar with the process of developing and deploying user-focused and innovative analytics solutions, including data transformation and visualisation
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general support to the FP&A Team in aspects of processing and transactional financial administration to assist in the provision of comprehensive financial planning and budget monitoring support to allocated
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research will develop and apply novel Bayesian machine learning methods – in particular physics-informed Gaussian processes and/or neural operators– to build accurate probability density functions (PDFs
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design, build & implementation of project tools and systems, including the team’s intranet, PPM tools, Jira and capacity planning tools. Looking at innovations to improve practices and processes
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guarantee. The charity wholly owns two trading subsidiaries; LUSU Housing Ltd and LUSU Services Co. Ltd. Your role will involve the day-to-day processing of financial transactions and responding to finance
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and climate adaptation worldwide. Your research will develop and apply novel Bayesian machine learning methods – in particular physics-informed Gaussian processes and/or neural operators– to build