Postdoctoral Researcher in Computational Stochastic Programming

Description

Description : The Department of Operations Research and Engineering Management within the Lyle School of Engineering at the Southern Methodist University seeks candidates for a Postdoctoral Research Associate in computational stochastic programming. The primary duties will include (i) active research involving modeling, optimization, simulation, and computer implementation of stochastic programming algorithms, (ii) manuscript development for peer-reviewed publications, and (iii) assistance with additional sponsored research activity.

Qualifications

Position Requirements :

• Successful completion of a Ph. D. (by the time of joining) in Operations Research, Applied Mathematics, Computer Science, or other related engineering fields.
• Must have experience in stochastic and / or discrete optimization. Additionally, exposure to modeling of infrastructure planning and operations problems will be beneficial.
• Highly motivated to pursue computational aspects of optimization research.
• Candidate must have excellent written and verbal communication skills with the ability to communicate effectively with a wide range of constituencies

Salary and term : The anticipated start date is August 1, 2025. The position is for one year with a renumeration of $55,000 and benefits.

Application Instructions

Review of applications will begin immediately. To ensure full consideration for the position, the application must be received by June 15, 2025. However, the committee will continue to accept applications until the position is filled. The committee will notify applicants of its employment decisions after the position is filled. Hiring is contingent upon the satisfactory completion of a background check.

Contact : For more information regarding the research project and the open position, interested candidates can contact Harsha Gangammanavar (harsha@smu.edu).

SMU Nondiscrimination Statement : SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.