英国约克大学2022年招聘博士后职位（进化的统计动力学）

英国约克大学2022年招聘博士后职位（进化的统计动力学）

Research Associate in Statistical Dynamics of Evolution

University of York

Description

The Department of Physics is at the forefront of pioneering global research and technological advancement in our world leading research centres, focused around biophysics, condensed matter physics, nuclear physics, and plasma physics and fusion energy at the York Plasma Institute. As a Department we strive to provide a working environment which allows all staff and students to contribute fully, to flourish, and to excel. We aim to ensure that there is a supportive and egalitarian culture at all levels and across all staff groups. We promote good practice and a strong culture of equality in higher education, and are proud of our Juno Champion Award and Athena SWAN Silver Award.

Role

The Department of Physics at the University of York is seeking to appoint a post-doctoral fellow (from May 1st, 2022 or as soon as possible thereafter) in biological physics theory and modelling under the EPSRC project, ‘Physics of Life: Noise, Information and Evolution.' The project brings statistical mechanics methods from physics (York) explore the dynamics of evolution in model genotype-phenotype (GP) maps generated by the protein physics of phenomena such as allostery, self-assembly and vision.

You will develop existing models of GP maps, using both analytical and numerical approaches, and will work closely with PI Prof. Tom McLeish (Physics, York). You will have the opportunity to collaborate with research groups elsewhere in both physics and biology. Regular training and communication activities are anticipated across the community of Physics of Life project teams in the UK, supported by the UK Physics of Life Network.

Skills, Experience & Qualification needed

PhD in Biological or Soft Matter Physics or equivalent experience

Ability to formulate dynamical systems in mathematical terms, especially using high-dimensional methods, and to deploy a range of theoretical and numerical strategies to solve them.

Competence in a wide range of theoretical soft matter, biological physics, or other physical systems applicable to this project.

Highly developed communication skills to engage effectively with a wide- ranging audience, both orally and in writing, using a range of media (including: writing up research work for publication in high profile journals)

Demonstrate aptitude for working across the physics: biology interface

This post is fixed-term up to 12 months

Interview date: To be confirmed

For informal enquiries: please contact Prof Tom McLeish on tom.mcleish@york.ac.uk or phys-hr@york.ac.uk.