12 software-formal-method-phd Fellowship positions at University of Cambridge in United Kingdom
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integrating geospatial analysis, explainable AI (XAI), and behavioural research methods, including but not limited to correspondence testing. The Fellow will also support the PI to develop a global
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learning and artificial intelligence methods in spatial analysis within the Department. Land Economy is defined as the multidisciplinary study of how society interacts with the environment, both natural and
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stimulating academic environment. A successful applicant is expected to be either a postgraduate student, probably in the latter stages of research leading to a PhD degree (or equivalent), or a post-doctoral
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for researchers early in their careers. Successful candidates are expected to be either graduate students, probably in the latter stages of their research leading to a PhD Degree, or post-doctoral researchers who
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latter stages of their research leading to a PhD Degree, or post-doctoral researchers who have recently been awarded their PhD Degree. Candidates who have undertaken more than five years of full-time
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are invited for the 2026 Research Fellowship awards. Up to four Research Fellowships will be awarded in this competition. Applicants should have submitted their PhD after 1 October 2024, or be on track
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order to produce a short-list; references will then be solicited. Short-listed candidates will be invited to visit the Department, give a seminar/lecture and attend a formal interview, which is expected
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of the following: A two-page CV, including the dates on which you had your PhD viva and on which you were awarded the PhD. A list of publications (not exceeding one side) NB: DORA principles should be considered
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the pastoral team in the College for students in academic difficulty, as needed. Eligible candidates will have fewer than three years' experience post-PhD/equivalent, exclusive of any career breaks and hold a
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for someone who is educated to degree level, normally with a PhD (or very close to being awarded a PhD) in a relevant discipline, e.g. Modern History of Asia/Modern World History. An established expertise in