[Job-offers-cs] Postdoc: Randomized Algorithms for Solving Massive Discrete Optimization Problems

[Pekka Orponen]

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: tinyurl.com/4vspvuzr <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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