There may be one or more postdoc openings in my research group starting July 1, 2010. All of these positions involve research on current funded projects combined with some possible teaching. I am looking for finishing PhD students and current postdocs with a year or two of experience. All interested candidates should have experience as lead author on journal publications in leading applied mathematics journals (including submitted papers and journals in related fields). Candidates should be able to carry out independent research with modest supervision. Experience with both analysis and computing is a plus. Interest in learning new mathematics/science beyond the area of one's PhD thesis is also a must, as well as an interest in continuing to publish high level journal articles. Availability of positions depends on current postdocs in the group finding permanent jobs this year.
If you are interested in a postdoctoral position in my group, please do both of the following:
(a) Apply online at mathjobs.org by the deadline Dec. 9, including your letters by that date.
Current positions at UCLA are listed at:
http://www.mathjobs.org/jobs/UCLA
Please apply for the AAPRP, and CAM positions. Please note that both of these positions require funding from a UCLA faculty member for the research part of the position. While the "adjunct" load says six courses, we typically have our applied adjuncts teaching only three courses (or less) with the rest of the salary funded on grants. If you have very strong computing skills and an interest in teaching, please also consider the AAPPIC position which has a higher teaching load and is more focused on teaching undergraduate computing. It also does not require faculty support on grants. Your ability to follow the instructions on this web page will be appreciated in my reviewing your application. Also please note that all of these positions require a teaching letter (except the pure postdoc positions) so please obtain one that describes your ability as a classroom teacher.
(b) Send me a separate email with a link to your web page, which should contain your CV, publications, and any other relevant information (excluding letters). Please indicate which of the funded projects listed below you are most interested in and why you are interested in that particular project. Please do not send attachments in your email to me, rather put the information on your web page so I can download the relevant material (papers, cv, etc).
Current research projects in Bertozzi group for which I hope to have continued funding:
I. Adaptive imaging algorithms for atomic force microscopy (joint project with LBL) More information is online at NSF:
II. Dynamics of aggregation and collapse in multidimensional swarming models. This NSF funded project involves both significant analysis (see my recent papers with Laurent and others) and/or significant high resolution computing (see e.g. preprint by Y. Huang and earlier work of Chuang, D'Orsogna et al).
III. Algorithms for Threat Detection (ATD): adaptive sensing and sensor fusion for real time chemical and biological threats. This research will include working with data provided by the Defense Threat Reduction Agency on experiments to detect biological and chemical threats in the atmosphere.
IV. Research on modeling and simulation of surface debris flows, including high performance computing simulations (finite element, parallel computing). This project is joint with Lawrence Livermore National Lab and includes a component to develop surface tension models for a simulator of explosions in the National Ignition Facility.
If you work on fracture and crack propagation please email Joey Teran independently about that part of the project. I am handling the surface tension/debris flow part which includes experiments on slurries in the Applied Math Lab at UCLA.
V. Research on data fusion of multimodal datasets including human event activity (crime, gangs, terrorists), social networks, remote sensing data (multispectral imagery, LIDAR). Experience with compressive sensing, computational methods, and an interest in branching out to social science datasets as well as more traditional imaging methods is important for this project. This project involves collaboration with faculty in social sciences and with the Los Angeles Police Department, and possibly the Department of Defense.