Login | Sign up

Postdoctoral position in Statistical Physics and Complex Systems

Profile: The successful candidate will be expected to engage in internationally-leading research in Statistical Physics and Complex Systems or cognate fields, to contribute collegially to the multidisciplinary research activities of the LIPh Group and to its management. The researcher will have the ability to supervise the work of others to focus team efforts, a track record of publications in high quality peer-reviewed scientific journals and a proven ability to carry out high quality research in one or more of the following research fields:

Statistical Physics modelling of Ecological systems

Non Equilibrium Statistical Mechanics

Applied Stochastic Processes

Biologically inspired Complex Systems

Salary: Depending on candidate expertise. Competitive for Italian living standards.

Formal requirements: Candidates should hold a PhD or post-doctoral experience in a subject area relevant to the profile. Excellent communication skills in written and spoken English and ability to communicate complex information to individuals from a range of disciplines are mandatory.

Research Environment: The LIPh group is active on a broad spectrum of subject areas and it is a vibrant, interdisciplinary research team that greatly benefits from collaborations all around the world.

The University of Padova is one of the most prestigious and big universities in Italy. Padova is a small and beautiful town, enriched by cultural and artistic activities and shaped around the University. Low living costs, great food, and you can bike everywhere!

The successful candidate will work in close collaboration with Sandro Azaele, Samir Suweis and Amos Maritan.

How to apply: Interested applicants are invited to submit a CV, list of publications and a brief cover letter (max one A4 page). We particularly welcome applications from women or from ethnic minorities.


Recover your password

Please, provide the email you used to register. We will send an email to that address with a link that will take you to the reset password page. After resetting your password you will be automatically logged in to the system.

Already a member?

If you had an account on the old website, please provide the email you used to register there. After resetting your password you will be automatically signed in to the system.

Already have an account? Log in