I am happy to advertise experimental postdoc openings in my new group at IST Austria starting in the summer or fall of 2019. Exceptional candidates will have the opportunity to work on cutting edge projects involving fluid mechanics, triboelectrification, or active matter.

IST offers their postdocs competitive salaries and a variety of generous internal fellowships that can help jumpstart their careers. Additionally, the new physics building has state of the art facilities in a fast growing and highly interdisciplinary setting. Located just outside of Vienna, working at IST also affords its employees the opportunity to live in what is consistently ranked as the ‘most livable city in the world.’

Interested candidates should send a CV (including a publication list and references) as well as a statement of research motivation/interests to swaitukaitis @ gmail.com.

Please kindly post this ad on your department’s notice board or internal listserv, and do not hesitate to contact me with any questions!

Best wishes,
Scott Waitukaitis

Dear collegues

A 2-years postdoc position is currently open in Rennes on flows in foam films.

See document: postdoc_IPR

Isabelle Cantat

Voir annonce:  Postdoc_Toulouse_Microfluidics

http://centuri-livingsystems.org/pdp2018-11/

Why animals learn the way they do?
An experimentally driven computational approach

Supervisors
David Robbe / INMED / david.robbe@inserm.fr
Christophe Eloy / IRPHE / christophe.eloy@irphe.univ-mrs.fr

Abstract
By constantly interacting with their environment, animals are capable of developing adaptive strategies to maximize reward collection, avoid punishments and minimize energy expenditure. The biological algorithms underlying trial-and-error learning are largely unknown. To address this question, we will examine whether different computational models can reproduce the learning dynamics and behavioral strategy of rats in a laboratory-based task. The data to model are already acquired and come from experiments in which animals, engaged in a multi-trial time estimation task, converged progressively towards a conserved embodied strategy. Learning models will be based on classical reinforcement techniques and more recent developments coming from artificial intelligence (deep learning). In this project, the back and forth interaction between experiments and theory will further the understanding of the mechanisms underlying learning and trial-by-trial adjustment in performance.

Keywords
Adaptive behavior; Reinforcement learning; Robotics; Embodiment; Motor learning; Rats; Artificial Intelligence, Machine learning

We invite interested young researchers to apply for postdoc positions available at the group “Millennium Nucleus Physics of Active Matter” at the Physics department of the University of Chile (Santiago). The applicants should have a strong training in physics or disciplines related to the project (see below) with skills in theoretical, numerical and/or experimental research. The selected candidates will participate in an open work atmosphere of collaboration between theoreticians and experimentalists working in different problems related to the “Physics of Active Matter”.

We are particularly interested in developing:

1-Stochastic Thermodynamics and other theoretical approaches for active matter and non-equilibrium systems in general.
2-Experimental techniques for the study of bacterial suspensions in microfluidic devices.
3-Simulations of bacterial suspensions, active tissues, or active colloids.

More information can be found in http://activematter.dfi.uchile.cl/en/ or in the personal web pages of the principal investigators:
Felipe Barra (http://www.dfi.uchile.cl/team/felipe_barra/)
María Luisa Cordero (http://www.dfi.uchile.cl/~mcordero/)
Rodrigo Soto (http://www.dfi.uchile.cl/~rsoto/)

Financial support from our side is committed for one year and will be extended yearly upon agreement between the two parties. In consist in a monthly salary of 1.770.000 Chilean pesos (2800 USD approx). Operational expenses and expenses associated to conferences (such as plane tickets, etc.) can be covered from our research budget.

Candidates should send a CV, research interests, and the names and contact information of 2-3 researches that can provide references to prof. Felipe Barra, fbarra@dfi.uchile.cl.

For any further information, please feel free to contact Felipe Barra, fbarra@dfi.uchile.cl .

Dear all,

We have an open position for an experimental post-doc on non-newtonian flows at the Department of Mathematics at the University of Oslo..
The project provides an excellent opportunity to study basic flow behaviour of liquids with particles and their complex rheology as part of an international collaborative project (https://pire.ccny.cuny.edu).

More details about the position and application details can be found here: https://www.jobbnorge.no/en/available-jobs/job/159775/postdoctoral-research-fellowship-in-fluid-mechanics

If you have any questions related to the position, please do not hesitate to write.

Best,

Andreas Carlson
Associate Professor
Department of Mathematics
University of Oslo

E-mail: acarlson@math.uio.no
Phone: (+47) 228-57223
Web: folk.uio.no/acarlson
Skype: carlsona