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POST DOC OPENING @LIPh_LAB, Physics Dept.. University of Padova

The LIPh Group invites applications for postdoctoral positions on statistical physics and complex systems.

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

Profile. We seek for candidates with an established expertise and proven portfolio of research within one or more of the following research fields: 

- Statistical Physics modelling of Ecological systems 

- Non Equilibrium Statistical Mechanics 

- Neural Networks, Data mining and Advanced Statistics 

- Biological inspired Complex Systems and Networks 

Formal requirements 

The candidate must possess a Ph.D. or a post-doc in a subject area relevant to the profile. An excellent level of both written and spoken English is mandatory. 

Specific requirements. The candidate must prove ability in effective and persuasive communication, ability to supervise the work of others to focus team efforts, ability to work in a multidisciplinary team and to be able to communicate complex information to individuals from a range of disciplines.

Research Environment The LIPH group is active on a broad spectrum of subjects and it is a vibrant, interdisciplinary research team that benefits greatly from collaboration all around the world. 

University of Padova is one of the most prestigious and big University of Italy. Padova, is a small and beautiful town, shaped around the University. Low living costs, great food, and you can bike everywhere!

The candidate will work in strict collaboration with Samir Suweis and Amos Maritan, who lead the LIPh Lab. 

How to apply. Interested applicants are requested to submit a CV, publication list, a brief cover letter (max 1 pages) and at least two letters of recommendation. 

All material should be sent to liph(dot)unipd(at)gmail(dot)com The deadline for applications is May 3. Later applications will also be considered until the positions are filled. 

Duration/Period2 year
Deadline30/04/2018 22:00
KeywordsComplex System; Statistical Physics; Ecological Systems; Biological networks; Biodiversity.;

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