18 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" PhD positions at University of Birmingham
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have partnered with AWE to fund a 4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in oxide scintillators. We will
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, characterization and the development of miniaturized devices. Experience with multivariate analysis, computational methods or statistical techniques is highly desirable. The PhD projects are highly interdisciplinary
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Are you an outstanding and ambitious engineering or computer science graduate looking for the next challenge? Do you want to work at the frontier of artificial intelligence and robotics to enable
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- or part-time research programme. This includes current doctoral researchers in the College of Arts and Law. The funding will be available from September 2026. One scholarship is available offering
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Engineering, Physics or a related subject area (first class degree or equivalent). We invite applications from highly motivated individuals, able to master complex subjects and eager to undertake research in a
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Experimental low-temperature physics involving nanofabrication, high pressure measurements, extreme magnetic field and milliKelvin temperatures to tune exotic low dimensional materials. Hands
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. Requirements: The candidate will have a 1st class undergraduate or Master’s degree (or equivalent) in Applied Mathematics, Physics, Aerospace Engineering, Mechanical Engineering, Computer Science, or a related
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related research strands, including: RAM Process Modelling: The development of advanced numerical models for RAM processes, incorporating complex phenomena such as chemically induced viscosity changes
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interactions into account with data-driven method. This research is inherently multidisciplinary, lying at the interface of fluid and solid mechanics, acoustics, and computing science. It will potentially
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that will consider the electromagnetic aspects, through computer modelling and simulation, and then identify material systems that enable the design and manufacture of antennas for test and characterisation