Postdoc at UT Austin in model-based reconstruction of Greenland ice sheet state and surface climate

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Postdoc at UT Austin in model-based reconstruction of Greenland ice sheet state and surface climate

Patrick Heimbach

Job Summary

Applications are invited for a Postdoctoral Research Fellowship the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. The successful candidate will work on a joint reconstruction of the holocene state of the Greenland ice sheet and its surface forcing from available observations. At the heart of this work will be the use of the SImulation COde for POLythermal Ice Sheets (SICOPOLIS) and its adjoint, generated by open-source algorithmic differentiation.

The project is supported by the National Science Foundation and will be conducted in the context of existing national and international collaborations.

The position is initially for one year, with a possible renewal for up to three years. The successful candidate will be part of a dynamic, collegial and interdisciplinary team, the Computational Research in Ice and Ocean Systems Group, that engages in a broad range of research topics surrounding oceans, ice, and climate (see https://www.oden.utexas.edu/research/centers-groups/crios/).

Qualifications

        • A recently (or very soon to be) completed PhD is required in glaciology, meteorology, physical oceanography, geophysics, applied math, or a related field.
        • Experience with numerical modeling of Earth system components, in particular ice sheets, is highly desirable;
        • Experience with inverse methods, in particular adjoint-based, is highly desirable;
        • Familiarity with paleo proxy data related to the last deglaciation of the northern hemisphere is welcomed;
        • Strong programming skills will be required, in particular in Fortran and Linux, as well as Matlab or Python.

For inquiries, please don't hesitate to email Patrick Heimbach, [hidden email]

How to Apply

Applicants should send a CV, a list of publications, and a statement of interest, explaining why you are motivated in this work to Kay Brown: [hidden email], by September 23, 2019. Applicants should also arrange for two confidential reference letters to be sent directly to Kay Brown at the same address.

Applicants should also arrange for two confidential reference letters to be sent directly to Kay Brown at the same address.
Review of applications will begin immediately, and will continue until the positions are filled. Unsuccessful candidates will be notified via email.

Additional information

Qualifications
Applicants must have a Ph.D. in physics, chemistry, or materials science, and prior experience in ab initio calculations based on density-functional theory and beyond.

General Notes
The position is initially for one year, renewable for up to three years based upon availability of funding, work performance, and progress toward research goals.

Employment Eligibility Verification
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. A criminal history background check will be required for finalist(s) under consideration for this position.

Equal Opportunities
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.



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