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Date: Thu Jul 6 11:31:02 2017
Subject: 17.07.05 Postdoc in Density Functional Theory Method Development
We are seeking outstanding candidates for two postdoctoral positions in electronic structure theory 
development at Central Michigan University (CMU). The candidates will be engaged in an exciting, 
large-scale effort to remove self-interaction errors from density functional theory. The project involves 
a collaborative team of researchers at multiple universities. The work at CMU will involve method 
development and coding under the supervision of Professors Koblar Jackson and Juan Peralta.   
Required qualifications for the positions include a Ph.D. in computational chemistry or theoretical 
condensed matter physics, or a closely related discipline, significant programming experience, and a 
solid background in electronic structure theory.  Additional preferred qualifications include FORTRAN 
programming experience, use of high performance computing centers, and experience with electronic 
structure codes.

The positions are grant funded. The expected starting date is Sept. 1, 2017; however, this date is 
contingent upon the start date of the grant. The initial appointments will be for one year. Extensions 
are possible, based on satisfactory performance and the availability of funding.  Competitive salary 
and benefits packages will be offered.

Review of applications will begin July 28th and continue until the positions are filled.
Applications must be submitted through CMUs HR website ( ) to be 
considered.  Please provide a cover letter (addressed to Professors Jackson and Peralta), a CV 
(including a list of publications), and a list of three reference contacts.  

CMU, an AA/EO institution, strongly and actively strives to increase diversity and provide equal 
opportunity within its community.  CMU does not discriminate in employment against persons based 
on age, color, disability, gender, gender identity/gender expression, genetic information, familial 
status, height, marital status, national origin, political persuasion, race, religion, sexual orientation, 
veteran status, or weight (see

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