Postdoctoral Position for Researchers in Computer Science, Chemistry, or Materials Science in the areas of Data Mining, Materials Informatics, and Cyber-Discovery of High Performance Carbon Capture Materials
University of Michigan, Ann Arbor
April 2, 2011
As part of its commitment to forge interdisciplinary partnerships for innovation in sustainable energy technologies, the Michigan Memorial Phoenix Energy Institute (MMPEI) announces an opening for a Phoenix Energy Institute Research Fellow in data mining and computational discovery of advanced carbon capture materials. The goal of the fellowship is to develop and apply a materials informatics approach to identify optimal metal-organic frameworks (MOFs) for CO2 capture from flue gas streams.
Individuals with backgrounds in computer science, computational chemistry, materials science, or physics are encouraged to apply. Experience with information extraction, data mining, statistical learning, or experience with one or more of the following computational techniques is preferred: density functional theory, quantum chemical methods (MP2, coupled cluster), quantum Monte Carlo, or classical Monte Carlo with semi-empirical potentials. Applicants will work closely with experimentalists from the U-M Department of Chemistry and with computational scientists from Computer Science and Engineering, Mechanical Engineering, and Applied Physics.
The University of Michigan is located in Ann Arbor, a quintessential college town that is routinely ranked amongst the country’s best places to live.
The appointment term is initially for one year, but may be extended for at least one additional year given satisfactory progress and mutual consent.
To apply, please forward a CV and contact information for three references via email to one of the addresses below. Review of applications will begin immediately, and continue until the position is filled. The University of Michigan is a Non-Discriminatory/Affirmative Action Employer.
Dr. Antek Wong-Foy, Department of Chemistry, University of Michigan , Ann Arbor, MI 48109-1055, atkwong@umich.edu, 734.936.9867
Prof. Donald Siegel , Departments of Mechanical Engineering and Applied Physics , Phoenix Memorial Energy Institute , University of Michigan, Ann Arbor, MI 48109-2133 , djsiege@umich.edu, www.umich.edu/~djsiege , 734.764.4808
Prof. Michael Cafarella, Computer Science and Engineering , University of Michigan, Ann Arbor, MI48109 michjc@umich.edu , www.eecs.umich.edu/~michjc , 734.764.9418
