[Opt-Net] Postdoc: Randomized Algorithms for Solving Massive Discrete Optimization Problems

[Leyffer, Sven]

The Mathematics and Computer Science Division at Argonne National Laboratory seeks candidates for a postdoctoral position in mixed-integer optimization. In this role you will perform research in the development and implementation of randomized algorithms for solving discrete optimization problems that are critical to challenging applications, such as optimal topology design, and resilience of interconnected infrastructure systems. Knowledge of these application domains is not a prerequisite.

Research will be performed in close collaboration with leading scientists in applied mathematics and computer science. Researchers will have access to cutting-edge extreme-scale computing facilities. Argonne provides a collaborative, open-science environment where scientists from various disciplines and backgrounds are engaged in solving challenging fundamental and practical problems. We actively promote diversity in backgrounds, experiences, and perspectives.

Position Requirements

(1) Recent or soon-to-be-completed PhD (within the last 0-3 years) in applied mathematics, statistics, computer science, industrial engineering or related field.
(2) Experience in nonlinear optimization, discrete optimization, or PDE-constrained optimization.
(3) Interest in contributing to the development of numerical software.
(4) Experience with (or willingness to explore) high-performance computing environments.
(5) Openness to adopt Argonne's core values of impact, respect, integrity, safety and teamwork.

US citizenship or permanent residence status are not required for this position.

Apply here: https://tinyurl.com/4vspvuzr

For more information contact Kibaek Kim (kimk at anl.gov), Matt Menickelly (mmenickelly at anl.gov), or Sven Leyffer (leyffer at anl.gov).

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Sven Leyffer
Mathematics and Computer Science Division
Argonne National Laboratory
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