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Field
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to spearhead research initiatives aimed at developing foundation models, contributing to the advancement of autonomy in telecommunication networks. Holding a PhD (or have submitted your thesis before taking up
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Engineering, Power Electronics, Embedded Systems, or closely related disciplines. Proven experience in the design and development of embedded systems, particularly for energy systems or control applications
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diversity, acting as a role model and contributing to an inclusive culture Person Specification First degree and normally a higher degree (e.g., MSc, PhD or near to completion) in a relevant field such as
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related laboratories and tutorials for undergraduate students. Interview and supervise student assistants in the project. Job Requirements: (Research Fellow) PhD in Computer Science or a related field
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, or similar. Knowledge of C++ would be advantageous but not essential. Ability to communicate complex information clearly. Informal enquiries to Samuel Watson, email: S.I.Watson@bham.ac.uk To download the full
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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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GIS and remote sensing skills, and the ability to design and implement field-based research programs while collaborating effectively in a multidisciplinary team. You may also: Have a PhD (or be near
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tenable for up to 4-years. Applications are welcome from graduates of any university. Candidates will usually have completed their PhD, but must not have undertaken more than 3-years of postdoctoral work by
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researcher with a PhD in forest ecology or a related field, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in a multidisciplinary environment. You may
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience