05 Postdoctoral Fellowship at Heriot-Watt University, Edinburgh, United Kingdom

The Department of Mathematics is advertising a 24-month post-doctoral position (PDRA) to work within the auspices of the Royal Society Wolfson Fellowship “Uncertainty quantification, data-driven simulations and learning of multiscale complex systems governed by PDEs” under the guidance of Professor Lorenzo Pareschi. The successful candidate will join the Department of Mathematics in the School of Mathematical and Computer Sciences and the Maxwell Institute Applied and Computational Mathematics theme. The nature and level of the research will require the appointment of a PDRA, who should have a good mathematical background in the analysis and modelling of stochastic particle systems, and in the construction of numerical methods for kinetic and mean-field PDEs. In addition, good programming skills in languages such as Python and Matlab are required.

We are seeking a motivated and enthusiastic person to work with us to develop/adapt reactive transport models for geochemical carbon dioxide removal. Carbon dioxide removal using rocks and minerals is recognised as an important part of meeting climate targets, but the merits and drawbacks of many approaches remain poorly understood. Upon completion of this ambitious project, the research team (working with partners at the University of Alberta, Monash University, and the Australian Synchrotron) will have completed ground-breaking research on demonstrating a new method of mineralisation of alkaline mine waste.

We are looking for a candidate with a range of skills in geochemical modelling. The successful applicant must hold a degree in a physical sciences, engineering, or maths. There are also opportunities to participate in our other projects in CO2 capture, utilisation and storage, and carbon dioxide removal (https://rccs.hw.ac.uk). 

We seek a skilled data scientist to create a precise ML predictive model for two key outputs. Your work will optimise production processes and lead to an interactive nutritional platform powered by innovative ML algorithms trained on unique data.

We’re looking for a well organised and highly efficient do-er, interested in optimising the processes for a novel ingredient company, working closely with Prof. Sandhya Patidar as the academic partner and team members of the industry partner at Aquanzo. 

The successful candidate will work on the creation and manipulation of complex structured beams with flat optics for the Leverhulme Trust project. Optical vortex beams (OVBs) have found many applications ranging from particle manipulation to quantum entanglement. However, there is a fundamental challenge in the design since only one topological charge is included in an OVB, which is unsuitable for applications where nonuniform OAM distributions are needed. Although there is a solution to solve this challenge, the optical system currently in use to generate and manipulate these beams is very bulky and complex. Driven by device miniaturization and system integration, there is huge interest in developing ultrathin and lightweight planar optical devices with novel functionalities that cannot be obtained with conventional optical elements.  

Super- and subradiance are quintessential quantum effects of relevance across natural photosynthesis and quantum technologies. In this project we will create the first fully coherent, scalable, and controllable artificial platform for exploring, analysing and tailoring such effects in the condensed matter. 

Working alongside two PhD students and an experimentally focused PDRA, this theoretical post aims to develop and explore experimentally accessible signatures of collective light-matter coupling effects for small ensembles of condensed-matter emitters, both via analytical approaches as well as numerical code.