As part of this group, the computational algorithms postdoc will be a major contributor in the research and development of new methods for optimization, calibration, parameter space exploration, and sensitivity analysis. These novel methods will be used to generate model-based guidance for public health campaigns and inform policymaking decisions with quantitative results across various disease models including polio, HIV, tuberculosis, and malaria. The research, models, and results will be presented to key stakeholders, displayed at conferences, and published in academic journals. The duration of this postdoctoral appointment will be 3 years.
Joining our group provides unique opportunities to interact with global-health policymakers, to collaborate with world-class research laboratories and non-profit organizations, and to contribute to global and national disease-eradication strategies. Publication of research work is strongly encouraged.
Intellectual Ventures Lab Overview
Responsibilities:
Become familiar with state-of-the-art algorithms for model calibration, optimization, sensitivity and uncertainty analysis, or parameter space exploration
Develop a theoretical basis for novel algorithms
Prototype and demonstrate novel algorithms in a scientific computing language
Provide assistance to software team implementing novel algorithms into a production framework
Lead in the preparation of research articles and conference presentations communicating methods and results to the scientific community
Key Qualifications and Required Skills:
Ph.D. in a quantitative field (e.g. Mathematics, Physics, Bioinformatics, Control, Computer Science, Engineering)
As part of this group, the computational algorithms postdoc will be a major contributor in the research and development of new methods for optimization, calibration, parameter space exploration, and sensitivity analysis.
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