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The Sustainable Infrastructure, Geotechnics, and Materials (SIGMa) Lab at Howard University invites applicants for a Ph.D. position in multiscale simulation and characterization of polymer composites starting January 2022. Highly motivated individuals with strong computational, machine learning, microscopy and communication skills are encouraged to apply.

Responsibilities

The Stout Infrastructure, Geotechnics, and Materials (SIGMa) Lab at Howard University, Washington, DC, invites applicants for a Master's position in optimization for Fall 2018. Highly-motivated, industrious individuals with a strong background in programming, geotechnics and structural analysis, adequate English proficiency, and the ability to work both independently and as part of a collaborative team are encouraged to apply.

Required qualifications 

The Sustainable Infrastructure, Geotechnics, and Materials (SIGMa) Lab at Howard University, Washington, DC invites applicants for a PhD position in advanced materials in civil engineering for Fall 2017. Highly-motivated, industrious individuals with strong computational and/or experimental skills, journal/conference publications, adequate English proficiency, and the ability to work both independently and as part of a collaborative team are strongly encouraged to apply.

Required qualifications 

The Sustainable Infrastructure, Geotechnics, and Materials (SIGMa) Lab at Howard University, Washington, DC invites applicants for a PhD position in advanced materials in civil engineering for Fall 2017. Highly-motivated, industrious individuals with strong computational and/or experimental skills, journal/conference publications, adequate English proficiency, and the ability to work both independently and as part of a collaborative team are strongly encouraged to apply.

Required qualifications 

The Sustainable Infrastructure, Geotechnics, and Materials (SIGMa) Lab at Howard University, Washington, DC invites applicants for two PhD and one Master’s positions in geotechnical and materials engineering for Fall 2016 and Spring 2017. Highly-motivated, industrious individuals with strong computational and/or experimental skills, journal/conference publications, excellent English proficiency, and the ability to work both independently and as part of a collaborative team are strongly encouraged to apply.