POSTDOCTORAL RESEARCHER IN COMPUTATIONAL NEUROSCIENCE IN NORWAY
Would you like to pursue exciting research in computational neuroscience? Then you should consider applying for a full-time limited-term position as postdoctoral researcher (code 1352) in the Computational Neuroscience Group at the Department of Mathematical Sciences and Technology of the Norwegian University of Life Sciences (UMB) at Aas, just outside Oslo, the capital of Norway. The position is a part of, and financed by, the research project "Multiscale physics on the computer: A Norwegian network". This project is funded by the Research Council of Norway and involves collaboration with physicists at the Norwegian University of Science and Technology in Trondheim and the University of Oslo on developing computational physics in Norway. The position is limited to three years and expected starting date is early winter 2013.
In the research project you will use a biophysical computational modeling scheme to investigate the neural origin of electrical brain signals recorded from humans such as the local field potential (LFP), EEG, and MEG. Results from these calculations will be used to develop novel physics-based analysis methods for human LFP recordings provided by the collaborating labs of Dr. Sydney Cash at Harvard-MGH in Boston and professor Eric Halgren at UCSD in San Diego. The calculations will involve detailed models of human nerve cells with anatomically reconstructed dendritic morphologies and use of the NEURON simulator (http://www.neuron.yale.edu) within our LFPy Python package (http://compneuro.umb.no/LFPy). For an example of such modeling, see Linden et al., Neuron 72, 859-872 (2011).
The computational neuroscience group at UMB presently consists of four permanent faculty members (Einevoll, Plesser, Wyller, Indahl), four post-docs, five PhD-students and a scientific software developer. We are co-localized and closely interacting with other computational biologists on campus who focus on modeling of heart function and the genotype-phenotype link, and we are also host of the Research School in Systems Biology. As a member of the NEST Initiative, we are strongly involved in developing leading-edge simulation software. We enjoy access to the Norwegian national scientific high-performance computing resources (http://www.notur.no/). For information on our group, see compneuro.umb.no. As part of the overall research project, our group will organize a national course in computational neuroscience, and you are expected to contribute in the preparation and teaching of this course.
To qualify for the position, you must have a PhD in either computational neuroscience or physics with a significant theoretical/computational component. Documented skills in implementation of scientific software, preferably in Python, are essential for the position. Experience in neuroscience is considered an asset. Women are currently underrepresented in our group and are especially encouraged to apply. If two or more applicants are considered to be equally qualified for the position, and at least one of them is a woman, the woman will be employed. The position is financed through the research project "Multiscale physics on the computer: A Norwegian network" funded by the Research Council of Norway and is limited to three years. Start date is as early as possible. The contract period will be extended in case of parental leave. Starting salary is at state salary level 57 (currently NOK 468.400). A higher starting salary is negotiable for applicants with significant relevant job experience, up to state salary level 60 (currently NOK 493.900).
Please submit your application via the webpage http://www.jobbnorge.no/job.aspx?jobid=86930&uid=1&reset=1 (use link "Apply for this job" on top of this web page) by October 28th, 2012. Applications should include (electronically) a letter of intent, curriculum vitae, full publication list, copies of degree certificates and transcripts of academic records (all certified), and a list of two persons who may act as references (with phone numbers and e-mail addresses). Your most relevant (up to five) publications should be included electronically within the application deadline. All applications will be reviewed by a scientific evaluation committee. The committee's report and recommendation will be made available to all applicants before selected applicants will be invited for trial lectures and interviews.
Please contact Professor Gaute T. Einevoll (firstname.lastname@example.org) for further information.
Gaute T. Einevoll
Department of Mathematical Sciences and Technology
Norwegian University of Life Sciences, 1432 Aas, Norway
ph. +47-64965433, mobile: +47-95124536
email: Gaute.Einevoll@umb.no, web: compneuro.umb.no, arken.umb.no/~gautei
private address: Utsiktsveien 22A, 1369 Stabekk, Norway
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