32 phd-software-engineering-"https:"-"https:"-"UCL" positions at Lancaster University
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skilled graduates through research projects that use industrial challenges as the catalyst for methodological advance. Work directly with leading industry partners Many of our PhD projects are developed and
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(labs) and theory (lectures & workshops). We believe in a continuous process of teaching quality improvement and innovation (e.g. our award-winning studio-based approach to teaching software engineering
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research community. We invite applications from experienced and enthusiastic individuals in the field, who have already attained a PhD in a highly relevant field of study. You must be able to demonstrate a
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and Medicine, as well as colleagues in Chemistry, Physics, Engineering, Psychology and the Lancaster Environment Centre within the Faculty of Science and Technology. You should have an established (SL
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research findings at conferences, workshops, and seminars. Candidate Requirements: A PhD (or near completion) in Discrete Mathematics or a closely related field. Expertise in at least one of the
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a PhD in a related discipline (or equivalent experience). You will work closely with members of the MHRG programme from a wide range of organisations, producing reports, publications and other outputs
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). This 2-year position is available at Lancaster University. You should have, or be close to completing, a PhD in Statistics or a closely related discipline. Throughout, you should have demonstrated
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with a small amount of undergraduate teaching in Environmental Science. Assist with mentoring more junior team members e.g. PhD students. You will join us on an indefinite contract, however the role
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changes in a fast-paced and dynamic environment. You should also have experience of working as a Business Analyst within a software development team. The position is primarily based at Lancaster
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works, for whom, and in what contexts. You will have a strong background in mental health research and a PhD in a related discipline (or equivalent experience). Knowledge of clinical trial methodology and