• Postdoctoral Fellow in Soft Math Lab

    Harvard University (Cambridge, MA)


    Details

     

    Title Postdoctoral Fellow in Soft Math Lab

     

    School Harvard John A. Paulson School of Engineering and Applied Sciences

     

    Department/Area Macroscopic Physics, Quantitative Biology, Applied Mathematics

    Position Description

    We are looking for excellent candidates in the general areas of macroscopic physics, quantitative biology and applied mathematics, with specific foci that include (i) the physics of morphogenesis, (ii) collective behavior of organisms across scales, (iii) soft matter physics, (iv) quantify resource consumption in a large residential community, using sensor deployment, statistical analysis of data, mathematical modeling, and communication of results, with the aim of guiding policy for climate change adaptation. Experience with theoretical and experimental methods for the analysis of problems in these fields, including data analysis, geometric signal processing and computational science, along with a deep commitment to working with, and alongside, experimentalists is a must.

    Basic Qualifications

    PhD in Physics, Engineering, Biology, or Applied Mathematics

    Additional Qualifications

    The ideal candidate should have experience with using ideas from physics, biology and computation, including but not limited to (discrete) differential geometry, statistics and computational mechanics, as well as sensor design and deployment, data analysis, mathematical modeling and strong collaborative skills.

     

    Special Instructions

    Contact Information

    L. Mahadevan c/o Matty Regan

    29 Oxford St, Rm 120

     

    Cambridge, MA 02138

     

    Contact Email [email protected]

     

    Equal Opportunity Employer

     

    Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.

     

    Minimum Number of References Required 3

     

    Maximum Number of References Allowed 3

     

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    Supplemental Questions