英国利兹大学2023年招聘博士后职位（注视眼球运动的建模）

利兹大学（University of Leeds），是一所位于英国利兹的公立综合研究型大学，是世界百强名校、英国红砖大学。

利兹大学是罗素大学集团，世界大学联盟、国际大学气候联盟、欧洲大学协会、英联邦大学协会、中英大学工程教育与研究联盟、RENKEI、N8大学联盟、白玫瑰大学联盟成员。

学校前身是成立于1874年的约克郡科学院，1884年与利兹医学院（成立于1831年）合并为约克郡学院，1887年与欧文斯学院（曼彻斯特大学的前身）和利物浦大学学院（利物浦大学的前身）组建联邦制维多利亚大学。1904年爱德华七世颁布皇家宪章，正式成立利兹大学。

Research Fellow in Modelling of Fixational Eye Movements

University of Leeds

Job Description

Are you an ambitious researcher looking for your next challenge? Would you like to apply your expertise in theoretical physics or mathematics to a biological problem? Would you like to work with exciting multidisciplinary teams including vision scientists, experimental psychologists, instrumentation engineers, and computational modellers to understand how we process visual information?

We are seeking to appoint a Research Fellow in biological applications of theoretical physics and mathematics, funded under the UKRI ‘Building Collaboration in the Physics of Life’ scheme. The project, “A fresh look at visual sampling: (PhysFEM) How are fixational eye-movements optimised?” is in collaboration with Oxford University Department of Experimental Psychology and US collaborators. The project brings theoretical and numerical modelling (Leeds) together with advanced adaptive-optics retinal imaging, positional measurement and stimulation, and computation (Oxford) to explore the hypothesis that fixational eye-movements (FEMs) are optimised to tasks.

You will work with Prof. Daniel Read to develop analytical and numerical models of the trajectories of fixational eye movements (FEMs), exploring their influence on biological visual processing, and investigating the characteristics of FEM paths that are most optimal and useful to the observer under a range of assumptions and constraints. Working closely with the experimental team of Prof. Hannah Smithson at the University of Oxford, who measure fine-scale eye movements with an advanced Adaptive Optics Scanning Laser Ophthalmoscope (AO-SLO), you will be part of a core collaborative team, evaluating predictions from models against experiments. You will also work closely with a computational Research Fellow at Oxford and with Prof. David Brainard’s group at the University of Pennsylvania to transfer your new modelling capacity into the public domain via the ISETBio human vision modelling tool.

You will have a PhD in Physics, Mathematics, or a closely allied discipline, with a strong background in theoretical (analytical and/or numerical) modelling of physical or biological systems, and with expertise in at least one of statistical physics, information theory or Bayesian statistics. Ideally you would also have knowledge of one or more of: relevant biology, mathematical biology, biological physics, soft matter physics, vision science or image processing.

You will have the ability to conduct independent research and a developing track record of publications in international journals. In addition, you will have excellent communication, planning and team working skills with an ability to work in an interdisciplinary project.

What we offer in return

And much more!

To explore the post further or for any queries you may have, please contact:

Professor Daniel Read, Professor of Soft Matter

Tel: +44 (0)113 343 5124

Email: D.J.Read@leeds.ac.uk

Location: Leeds - Main Campus

Faculty/Service: Faculty of Engineering & Physical Sciences

School/Institute: School of Mathematics

Category: Research

Grade: Grade 7

Salary: £37,099 to £44,263 p.a.

Due to funding restrictions, an appointment will not be made higher than £39,347 p.a.

Working Time: 37.5 hours per week

Post Type: Full Time

Contract Type: Fixed Term (2 years - grant funding, to end by 31 March 2026, starting no later than 01 April 2024)

Release Date: Wednesday 25 October 2023

Closing Date: Sunday 19 November 2023

Reference: EPSMA1094

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