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美国纽约大学智能工程材料中心博士后职位

2022年04月06日
来源:知识人网整理
摘要:

美国纽约大学智能工程材料中心博士后职位

Post-Doctoral Associate in the Center for Smart Engineering Materials

New York University

Description

The successful applicant will work on four main areas: (i) development of novel self-healing cementitious materials through chemical and/or bio- mineralization, (ii) design and assessing of the performance of piezoelectric materials endowed with high sensitivity, resistance to polarization under a wide temperature range, and durability under the highly basic environment of concrete, (iii) development of structural-health- monitoring networks specifically for the oil and gas industry, and (iv) consolidation of the results to formulate and assess the performance of self- monitoring and self-healing cementitious composites. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students, and undergraduate students.

Applicants must have experience in the development and performance assessment of self-healing construction materials and structural health monitoring. Excellent experimental skills relevant to the project (in particular, characterization of construction materials, electromechanical admittance, electrical impedance, and guided wave propagation) are favored. Applicants should have an undergraduate degree and Ph.D. in civil engineering, materials science, or closely related fields. Candidates with outstanding interpersonal and communications skills, problem-solving, and decision-making abilities are preferred.

For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, and three letters of reference, all in PDF format. If you have any questions, please email nyuad.CSEM@nyu.edu

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format.