69 parallel-and-distributed-computing-phd-"Multiple" positions at UNIVERSITY OF SURREY
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to collaborate with colleagues and stakeholders will be essential. We particularly welcome candidates with experience in the design and execution of listening experiments. A PhD in a relevant area is desirable but
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. The successful applicant will be based at the University of Surrey and will work across organisations as part of a national team, working with a project manager and academics, across multiple UK universities, in
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classes, supervising student projects, and supporting a range of academic duties such as assessment, marking, and pastoral care. About You You will hold a PhD in pharmaceutical/formulation sciences or a
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: Excellent interpersonal and organisational skills, with the ability to manage multiple priorities and build productive relationships. A proactive, problem-solving mindset and the ability to work independently
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appointments where necessary to ensure they are receiving relevant and timely support Keeping accurate records across multiple IT systems Communicating with other departments and support services Overseeing
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staff, nine postdoctoral researchers and three postgraduate students; these numbers are expected to increase in the coming months. Group members are engaged in multiple externally funded projects. Current
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, through new knowledge and its application to the design, development, and delivery of responsible innovation and impact. Our School of Veterinary Medicine follows an innovative distributed teaching model
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Psychology, as well as across our Surrey Online Learning (SOL) MSc Conversion programme. Candidates are expected to hold a PhD (or close to completing their doctoral studies). The post-holder will contribute
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the University's Strategy. The post-holder will be expected to contribute to all areas of provision from our PhD programme, MA in Higher Education PGCert in Learning and Teaching in Higher Education and a range of
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. Ability to collaborate with colleagues and stakeholders will be essential. We particularly welcome candidates with experience in psychoacoustic listening tests and machine/deep learning. A PhD in a relevant