Postdoctoral position – CICESE

MPOWIR Mentoring Physical Oceanography Women to Increase Retention; Dubai; On-site; AED 60,000 - 120,000; Full time

Job summary

A collaborative research institute in Dubai is offering a postdoctoral scholarship focusing on the study of environmental factors affecting particle dispersion in the Gulf of Mexico. Ideal candidates will have a Ph.D. in Physical Oceanography, experience with Lagrangian data, and programming skills in Fortran, Matlab, or Python. The position is contract-based for one year, with the possibility of extension based on performance.

Qualifications

• Ph.D. in Physical Oceanography or related fields.
• Experience with Lagrangian data (real or simulated) is desirable.
• Programming knowledge in Fortran, Matlab, or Python.
• Good English skills (oral and written).

Responsibilities

• Study environmental factors controlling particle dispersion at various scales.
• Compare dispersion properties between inner-shelf and deep water.
• Use Lagrangian data from drifters and subsurface floats.

Skills

Experience with Lagrangian data (real or simulated)

Programming knowledge in Fortran

Programming knowledge in Matlab

Programming knowledge in Python

Good English skills (oral and written)

Education

Ph.D. in Physical Oceanography or related fields

Job description

Overview

The Department of Physical Oceanography of CICESE is offering a postdoctoral scholarship to join the group that studies transport mechanisms of passive particles in the western Gulf of Mexico. This work is within the larger, multi-institutional and interdisciplinary project to generate scenarios and evaluate possible impacts of oil spills on the Gulf of Mexico ecosystem, conducted by the Consorcio de Investigación del Golfo de México (CIGoM).

The aim of the postdoc is to study the environmental factors controlling particle dispersion at various scales, and how the properties of dispersion differ between the inner-shelf and deep water, as well as between the surface and the deeper layers. Lagrangian data will be obtained from drifters and subsurface floats experiments in the field, as well as via numerical model experiments.

Responsibilities

• Study environmental factors controlling particle dispersion at various scales.
• Compare dispersion properties between inner-shelf and deep water, and between surface and deeper layers.
• Use Lagrangian data from drifters and subsurface floats, and conduct numerical model experiments.

Qualifications

• Ph.D. in Physical Oceanography or related fields.
• Experience with Lagrangian data (real or simulated) is desirable.
• Programming knowledge in Fortran, Matlab, or Python.
• Good English skills (oral and written).

Offer and Contract

• Stipend will depend on the qualifications of the candidate.
• Contract for one year, with possible extension up to 2 years depending on progress.

Application

Interested persons are invited to submit a motivation letter and curriculum vitae with full contact information by October 8, 2017.