Full-Time

Postdoctoral Scholar

Research Associate

Posted on 5/2/2026

University of Southern California

University of Southern California

Compensation Overview

$69.8k/yr

Los Angeles, CA, USA

Hybrid

Hybrid role; must work onsite at least 2 days per week.

Category
Mechanical Engineering (1)
Required Skills
Machine Learning
Operations Research
Requirements
  • Qualified candidates should have or be close to completing a doctorate degree in industrial engineering, operations research, statistics, or machine learning and have a strong research record.
  • Prior research and publications in optimization under uncertainty methodologies and their applications.
Responsibilities
  • The Postdoctoral Researcher is expected to specifically contribute one or both of the following research areas: (i) develop the next generation data-driven stochastic and distributionally robust optimization methodologies or (ii) develop advanced fairness promoting stochastic optimization frameworks.
  • In coordination with Prof. Shehadeh, the Researcher will lead the research team in writing manuscripts, disseminating findings at scientific meetings, preparing grant applications, and supporting the supervision of doctoral students.
Desired Qualifications
  • Preferences will be given to candidates with experience in one of the following areas: (1) stochastic and distributionally robust optimization and their applications, or (2) fairness in optimization and/or ML.
  • Strong writing and verbal communication skills are required
University of Southern California

University of Southern California

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