Vacancies in the School of Mathematics
Lecturer/Senior Lecturer/Reader in Statistical Science
The Institute for Statistical Science, part of the School of Mathematics, University of Bristol, is seeking to appoint an academic at the Lecturer level (roughly equivalent to an Assistant Professor in the US system).
The University of Bristol is committed to an expansion in Data Science, and in this respect, it is in-line with major universities worldwide, all of whom recognize that Data Science now has the capacity to be transformative for human society and culture.
Details on how to apply - deadline 6 March 2019
Lecturer/Senior Lecturer/Reader in Quantum Computing Theory
The School of Mathematics, University of Bristol, is seeking to appoint a Lecturer/Senior Lecturer/Reader in Quantum Computing Theory.
The post will be integrated within the interdepartmental Quantum Information Theory Group, one of the world’s leading groups in quantum information theory; see https://www.bristolmathsresearch.org/qitgroup/. The new post arises from our recent award of a substantial research grant, an EPSRC Prosperity Partnership, in association with Google and UCL, see http://www.bristol.ac.uk/news/2018/september/google-partnership-quantum-software.html
Details on how to apply - deadline 24 February
Research Associate/Senior Research Associate
The Research Associate position will be based in the Schools of Earth Sciences and Mathematics at the University of Bristol and will conduct fundamental research to underpin the application of predictive models to lahar hazard and risk.
Details on how to apply - deadline 28 March
Research Associate/Senior Research Associate
Please Note: This is a “rolling advert” with a nominal close date only. Applications are welcome at any time and the timing of the selection process will be dependent on the applications received.
Applications are invited for a number of open postdoctoral research associate (PDRA)/senior research associate positions in the theory of quantum computation, tenable from a date to be agreed.
Areas of particular interest include, but are not restricted to: quantum algorithms and their underpinning mathematics; architectures for quantum computers; applications of quantum computers; quantum computational complexity and Hamiltonian complexity; algorithms for simulation of quantum systems; and verification/testing of quantum devices.
Applications are invited for a postdoctoral research associate (PDRA) in statistics/machine-learning/data-science tenable from 1st March 2019, for a period of two years. This project, funded by the Alan Turing Institute fellowship award “analysis of jointly embedded cyber-security graphs”, will deliver statistical theory and methodology supporting the following aims: a) to find a principled and tractable framework, at the intersection of Mathematics, Statistics and Computer Science, for joint modelling of networks and b) over the course of two years, collaborate with industry and government partners to see prototype algorithms and software deployed on cyber-security applications.
Details on how to apply - deadline 4 March 2019
Applications are invited for a three-year postdoctoral Research Associate in the School of Mathematics at the University of Bristol working with Valeriy Slastikov and Jonathan Robbins. The position is funded by a grant from the Leverhulme Trust.
Details on how to apply - deadline 31 March 2019
Student vacancy - Quantum Information Summer Internships
Quantum computers are designed to outperform their classical counterparts by running quantum algorithms. In some cases, general-purpose quantum algorithms are known that can accelerate a wide class of classical methods. One example of such a quantum algorithm is Grover’s algorithm, which achieves a quadratic speedup for unstructured search problems. This project will aim to find quantum speedups of general-purpose numerical optimisation algorithms, a class of algorithms which have many important practical applications. The project will be theoretical in nature and will focus on applying known quantum-algorithmic techniques to accelerate prominent classical optimisation algorithms.
We plan to take on several students who will work as a team on various aspects of this project.
Pre-requisites: Strong performance in undergraduate modules; Linear algebra; an interest in theoretical aspects of computer science (e.g. algorithms / computational complexity); while prior knowledge of quantum mechanics is not required, a willingness to learn appropriate aspects is needed.