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constraints using multi-scale feature fusion and generative data augmentation to enhance LVLM perception capabilities; (c) optimise model efficiency: implement model distillation techniques to compress LVLMs
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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vary depending on business needs. Flexible working We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another working arrangement. Please reach
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, they must be compressed before upload. Please note that information on applicants may be published even if the applicant has requested not to be included in the official list of applicants - see Section 25
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. Whether it’s a part time, compressed hours or another working arrangement. Please reach out to us to discuss what works best for you. About the Role We are seeking to appoint a highly motivated Research
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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and experience leading research are essential. Candidates must have expertise in aerospace aerodynamics, compressible flow, and engineering programming. Experience in CFD, optimisation, HPC, and
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for Space Communications Research . The person hired will work within research on: Quantum information theory, Quantum compressive sensing, Quantum error-correcting codes, Quantum computing, and/or Post
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quantum technology, and it may also be associated with the new Center for Space Communications Research . The person hired will work within research on: Quantum information theory, Quantum compressive
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pattern including annualised hours, compressed working hours, part time, job share, term-time only and/or hybrid working. Details of preferred hours should be stated in the personal statement and will be