Postdoctoral Fellow; Civil and Systems Engineering

Description

The Postdoctoral Fellow will conduct research in decision-focused learning, an emerging paradigm that integrates predictive machine learning models directly with optimization to improve decision-making under uncertainty. The primary research focus will be on developing novel end-to-end methodologies for addressing uncertainty in optimization constraints, particularly in scheduling and production planning applications where robust integrated solutions remain an open research challenge.

$ 63,

Johns Hopkins University:
Whiting School of Engineering:
Department of Civil and Systems Engineering

• Conduct independent and collaborative research in decision-focused learning and optimization under uncertainty.
• Develop novel algorithms and computational methods that jointly learn predictive models and optimize decision-making.
• Investigate methods for incorporating uncertainty in optimization constraints, with applications in scheduling, production planning, and related operational systems.
• Implement and evaluate proposed methods using computational experiments and real-world datasets.
• Prepare manuscripts for publication in peer-reviewed journals and present research findings at scientific conferences.
• Collaborate with faculty investigators and research team members on related research initiatives.
• Participate in grant proposal preparation and other research activities as assigned.

Doctoral degree in a related field.

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