2023-2025 Postdoctoral Research Fellow positions available in our team (vacancies closed)

N.B. Applications now closed.

We are looking for new members to join our Wellcome-funded team of cardiac electrophysiology modellers, to develop mathematical models of ion channel currents and cardiac cells for assessing the safety of new pharmaceutical drugs. You’ll be joining a research team including me, postdocs, PhD students and a Research Software Engineer.

Two posts are available, and these are fixed-term research positions available from now until the end of January 2025.

A Senior role is available for experienced postdoctoral researchers, which is appointed on the same pay grade as a Lecturer/Assistant Professor; whilst the other will be suitable for you if you have just finished/are finishing a PhD or have a few years of postdoc experience.

We are looking for experience in ANY ONE OF:

  • Mathematical modelling of a biological system involving numerical simulations, e.g. ODE, PDE or stochastic/agent-based modelling.
  • Statistics/data science – fitting mechanistic models to real experimental data and performing uncertainty quantification/inference in a frequentist or Bayesian framework. Experimental design and/or considering model discrepancy are desirable.
  • Experimental electrophysiology (e.g. manual patch clamp) – for instance, using voltage-clamp protocols to characterise an ion channel current. In this case you will have a desire to combine extended overseas visits to collaborators’ labs to undertake your own experiments with learning to do your own experimental design and computational ion channel modelling here in Nottingham.

Your particular focus (depending on the strengths and interests of the successful candidates) could include:

  • Use of dynamic-clamp (real time simulation/experiment interaction) in model building.
  • Cell-specific electrophysiology model construction.
  • Working on methods for experimental design, to optimise parameter identifiability, but also to perform model selection, minimise the influence of experimental artefacts, and assess/forecast the difference between the model and reality.
  • Building on the Cardiac Electrophysiology Web Lab (https://scrambler.cs.ox.ac.uk/) to record and reproduce the process of fitting a model to data and testing it.

I think that our main problems in terms of “making quantitative predictions” in the cardiac modelling field are related to deriving biophysically-based mechanistic models from experimental data (replacing what are often subjective modelling choices with automated algorithms to make this reliable and reproducible). Plus making future predictions with appropriately quantified uncertainty due to all the factors about which we’re uncertain (not just parameter uncertainty…).

You’ll find a lot of our open questions discussed in various past posts here on this blog and in our recent publications.

We’ll be working closely with: industry labs; pharmaceutical regulators (including the FDA); and academic labs (in particular Teun de Boer’s lab in UMC Utrecht in the Netherlands and Adam Hill & Jamie Vandenberg‘s labs in Victor Chang Cardiac Research Institute, Sydney, Australia). So candidates must enjoy teamwork, collaborative inter-disciplinary projects, and be prepared to get into the lab for a few weeks to really get to grips with the experiments we are trying to use.

Here is the link to the full role profiles and application forms: https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI2147

(shortcut links to Research Fellow Job Profile, Senior Research Fellow Job Profile)

Informal enquiries to gary.mirams@nottingham.ac.uk are welcome, but applications must be via the link above. The closing date is Friday 27th January 2023

This entry was posted in Action Potential Models, Drug action, Experimental Design, Future developments, Ion Channel Models, jobs, Model Development, Stats and Inference and tagged , . Bookmark the permalink.

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