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| Job Location | Glasgow |
| Education | Not Mentioned |
| Salary | 37,474 - 61,823 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
Salary : Grade 7/8/9: £37,474 - £42,155 / £46,047 - £53,353 / £54,949 - £61,823 per annumOur client is an energetic and growing international centre of excellence for engineering research and teaching. The School leads research in Autonomous Systems & Connectivity (including Aerospace); Biomedical Engineering; Electronics and Nanoscale Engineering;Infrastructure and Environment; and Systems, Power and Energy. They have in the region of 170 academics and 190 researchers supported by approximately 70 technicians and 40 professional services staff. Currently, they have ~500 research students working towardsdoctorates.They are seeking ambitious academics to join the School who have the ambition and potential to apply Artificial Intelligence (AI) driven techniques to solve real world engineering problems. They welcome applications with broader expertise in (big) data analytics,deep learning, machine learning, machine vision and image analysis, explainable AI, agent architectures, AI driven systems engineering and ethical considerations with experience of solving real world engineering challenges using these tools and considerations.Depending on the research area, successful applicants will join one of the 5 Research Division on the school, each home to a vibrant environment with world leading groups. All divisions drive fundamental research that is developed with the ambition to leadto industrial and academic impact. They expect the successful academic to complement and synergise with existing activities and to develop a network of collaborations locally (across the School of Engineering and the University) as well as to liaise with industryand clinicians to translate their research to the highest impact.Closing Date for all posts is 13 November 2022Relocation packages available subject to eligibility criteria.It is their mission to foster an inclusive climate, which ensures equality in their working, learning, research and teaching environment.They strongly endorse the principles of Athena SWAN, including a supportive and flexible working environment, with commitment from all levels of the organisation in promoting gender equality.
Keyskills :
DataEngineeringInfrastructureResearchTeaching