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Field
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model outputs Build robust, scalable software tools and data pipelines for processing large geospatial datasets, enabling CLIM+ project partners and the broader research community to leverage AI-driven
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, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact
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, Professor Jim Wild and the SPIRO investigators. The position sits within Work Package 4 (Technology Integration and Computational Analysis) of SPIRO, which is central to integrating and analysing data from
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experience in data-driven modelling and a strong interest in large language models (LLMs) and their application to scientific and engineering workflows. Solid foundations in mathematics, engineering, or a
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at the www.ekh.lu.se . Role and Responsibilities We are recruiting one to two software developers with expertise in AI and machine learning for permanent positions within a research project focused on the transcription
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Position Specific Required Qualifications: PhD degree in Mechanical Engineering, Energy Engineering, Thermal Engineering, Chemical Engineering, Physics or a closely related field with a strong focus on
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first class or 2:1 honours) in Computer Science, Software Engineering, or a closely related discipline. A master’s degree or PhD (awarded, recently submitted, or near completion) in a similar discipline
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(including Large Language Models and data-driven optimisation) with concrete industrial deployment. A profile comfortable with the challenges faced by industries in their transition towards Manufacturing 4.0