120 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Bristol
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Secure research funding, supervise doctoral and postgraduate students, and mentor early-career faculty to support their professional development. You hold a PhD in Engineering, Physics, Computer
-
leading School. In this role, you will: Teach at undergraduate and master’s level, including lectures, seminars, tutorials and computer labs. Act as a personal tutor, providing academic and pastoral support
-
. You hold a PhD in Engineering, Physics, Computer Science, Mathematics or a closely related discipline. You have proven ability to teach at a high standard and an emerging track record of scholarly
-
should have expertise in two or more of the following areas: computational mechanics, composite manufacturing, stochastic design, aeroelasticity, wind turbine engineering, or multi-scale modelling
-
: Thomas.rendall@bristol.ac.uk To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https
-
The School of Physics seeks to recruit a Partnerships Manager for its EPSRC funded Quantum Information Science and Technology Centre for Doctoral Training programme (https://www.qist-cdt.info
-
For informal enquiries please contact: Professor Karen West, karen.west@bristol.ac.uk How to apply: Please consult our research proposal guidance then submit an online application for this project at http
-
supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended Work pattern: Full time Grade: H
-
about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category
-
broad range of quantitative backgrounds, including geophysics, applied and computational statistics, data science, civil engineering, maths or physics. Some prior experience working with geophysical