[Job-offers-cs] Postdoc position in dynamical models of learning in working memory (Kilpatrick, CU Boulder)

[Pekka Orponen]

-------- Forwarded Message --------

Subject: 	[SIAM-DY] Postdoc position in dynamical models of learning in 
working memory (Kilpatrick, CU Boulder)
Date: 	Wed, 14 Oct 2020 05:36:53 +0000
From: 	Zachary Kilpatrick <zpkilpat at colorado.edu>
To: 	Pekka Orponen <pekka.orponen at aalto.fi>
CC: 	The Dynamical Systems SIAG mailing list <siam-dy at siam.org>



We are seeking a postdoctoral fellow to work on a BRAIN/NIMH/NIBIB 
funded project developing and validating neural circuit models of 
experience-driven computations in working memory. Our group is in the 
Department of Applied Mathematics at the University of Colorado Boulder, 
and we have affiliations with the Institute of Cognitive Science and 
School of Medicine.

The start date would likely be in Spring or Summer 2021. The position is 
fully funded till September 2023, with a possible extension contingent 
on funding. Interested applicants should contact Zack Kilpatrick 
(zpkilpat at colorado.edu <mailto:zpkilpat at colorado.edu>), along with a CV 
and list of 3 or more references.

The aim of this project is to understand how task-relevant experience is 
encoded in neuronal circuits through plasticity-driven changes to 
network architecture (building off ideas in Kilpatrick (2018) Sci Rep 
<https://www.nature.com/articles/s41598-018-25958-9>). Our mechanistic 
neural circuit models will be validated using data from humans 
(psychophysical response) and non-human primates (response + large-scale 
neural recordings) from the Gold (Penn), Buschman (Princeton), and Bays 
(Cambridge) labs.

Candidates must have a strong background developing, simulating, and 
mathematically analyzing dynamical/mechanistic neural network models. We 
will build and analyze neural field models of large-scale activity using 
a combination of methods from stochastic processes, asymptotics, 
Bayesian inference, and numerical PDEs. Experience working with 
psychophysics and/or neural recording data is a plus but not required. 
Models will be fit using Bayesian parameter estimation and model comparison.

Within our group, you could also work on a side project or two in 
decision-making, stochastic dynamics, social networks, and/or social 
foraging. Outside of work, the great outdoors in and around Boulder 
can’t be beat with over 40,000 acres of public open space, 1hr to skiing 
at Eldora Mtn Resort, 1hr to Rocky Mtn Natl Park, and tons of hiking and 
climbing. Boulder is consistently rated one of the most bike-able cities 
in the nation. We also have a very active local food scene with multiple 
restaurants receiving James Beard nominations this year. Non-stop 
international flights to Germany, Italy, France, Switzerland, the UK, 
Japan, Mexico, and Canada are a 45 minute bus ride away at Denver Airport.

----------
Zachary P Kilpatrick, PhD (he/him/his)
Associate Professor
University of Colorado Boulder
Department of Applied Mathematics
http://www.colorado.edu/amath/zpkilpat 
<http://www.colorado.edu/amath/zpkilpat>

-------------- next part --------------
An HTML attachment was scrubbed...
URL: https://list.aalto.fi/pipermail/job-offers-cs/attachments/20201029/67d834fd/attachment.htm 
-------------- next part --------------
_______________________________________________
SIAM-DY mailing list
SIAM-DY at siam.org
http://lists.siam.org/mailman/listinfo/siam-dy